Sequence to Sequence Learning with Neural Networks

Abstract

Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training sets are available, they cannot be used to map sequences to sequences. In this paper, we present a general end-to-end approach to sequence learning that makes minimal assumptions on the sequence structure. Our method uses a multilayered Long Short-Term Memory (LSTM) to map the input sequence to a vector of a fixed dimensionality, and then another deep LSTM to decode the target sequence from the vector. Our main result is that on an English to French translation task from the WMT'14 dataset, the translations produced by the LSTM achieve a BLEU score of 34.8 on the entire test set, where the LSTM's BLEU score was penalized on out-of-vocabulary words. Additionally, the LSTM did not have difficulty on long sentences. For comparison, a phrase-based SMT system achieves a BLEU score of 33.3 on the same dataset. When we used the LSTM to rerank the 1000 hypotheses produced by the aforementioned SMT system, its BLEU score increases to 36.5, which is close to the previous best result on this task. The LSTM also learned sensible phrase and sentence representations that are sensitive to word order and are relatively invariant to the active and the passive voice. Finally, we found that reversing the order of the words in all source sentences (but not target sentences) improved the LSTM's performance markedly, because doing so introduced many short term dependencies between the source and the target sentence which made the optimization problem easier.

9 pages

References in corpus (2)

• On the difficulty of training Recurrent Neural Networks
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

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• Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
• User-Centric Conversational Recommendation with Multi-Aspect User Modeling
• Neural Attention for Image Captioning: Review of Outstanding Methods
• FlauBERT: Unsupervised Language Model Pre-training for French
• Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
• Action-Attending Graphic Neural Network
• A Convolutional Encoder Model for Neural Machine Translation
• Cross-lingual, Character-Level Neural Morphological Tagging
• Towards Dynamic and Safe Configuration Tuning for Cloud Databases
• A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
• Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
• TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data
• Flight Time Prediction for Fuel Loading Decisions with a Deep Learning Approach
• Towards Neural Network-based Reasoning
• EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
• Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
• Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
• Soft Contextual Data Augmentation for Neural Machine Translation
• IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
• Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach
• Memorize or generalize? Searching for a compositional RNN in a haystack
• Choose a Transformer: Fourier or Galerkin
• Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
• A Survey of Deep Learning for Scientific Discovery
• Semantic Modelling with Long-Short-Term Memory for Information Retrieval
• Syntactically Supervised Transformers for Faster Neural Machine Translation
• Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model
• Natural Language Understanding with the Quora Question Pairs Dataset
• Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction
• DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
• Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
• Topic-Guided Variational Autoencoders for Text Generation
• InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining
• Small Sample Learning in Big Data Era
• Rationalization for Explainable NLP: A Survey
• Noise Contrastive Priors for Functional Uncertainty
• XNMT: The eXtensible Neural Machine Translation Toolkit
• Evaluating Mixed-initiative Conversational Search Systems via User Simulation
• View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data
• Transformer based Grapheme-to-Phoneme Conversion
• Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
• Difference-Based Deep Learning Framework for Stress Predictions in Heterogeneous Media
• TBD: Benchmarking and Analyzing Deep Neural Network Training
• Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
• A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
• Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015
• Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
• Theory and Experiments on Vector Quantized Autoencoders
• Conversational Contextual Cues: The Case of Personalization and History for Response Ranking
• On Learning Sets of Symmetric Elements
• A Memory-Network Based Solution for Multivariate Time-Series Forecasting
• High Accuracy and High Fidelity Extraction of Neural Networks
• Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory
• Deep Learning for Plasma Tomography and Disruption Prediction from Bolometer Data
• Temporal Attention Model for Neural Machine Translation
• Sequence-to-Sequence Models Can Directly Translate Foreign Speech
• Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning
• GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
• Artificial Intelligence for Social Good: A Survey
• Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
• SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection
• Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
• A Spatiotemporal Deep Neural Network for Fine-Grained Multi-Horizon Wind Prediction
• TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
• Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
• BCR-Net: a neural network based on the nonstandard wavelet form
• Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
• A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
• A Context-aware Natural Language Generator for Dialogue Systems
• Out of Distribution Generalization in Machine Learning
• Quantum Language Model with Entanglement Embedding for Question Answering
• Encoding Source Language with Convolutional Neural Network for Machine Translation
• On End-to-End Program Generation from User Intention by Deep Neural Networks
• Natural Language Understanding with Distributed Representation
• HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
• An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation
• Tree-structured composition in neural networks without tree-structured architectures
• Learn an Effective Lip Reading Model without Pains
• Adversarial Examples in Modern Machine Learning: A Review
• NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
• Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges
• AR-Net: A simple Auto-Regressive Neural Network for time-series
• Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks
• Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing
• Zero-Resource Knowledge-Grounded Dialogue Generation
• A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection
• ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
• Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
• Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
• SF-Net: Structured Feature Network for Continuous Sign Language Recognition
• Domain Generalization for Object Recognition with Multi-task Autoencoders
• A Unified Query-based Generative Model for Question Generation and Question Answering
• AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
• On the effectiveness of task granularity for transfer learning
• Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
• Tensorized Embedding Layers for Efficient Model Compression
• A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
• Video Representation Learning by Dense Predictive Coding
• Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation
• Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
• Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources
• A Survey on State-of-the-art Deep Learning Applications and Challenges
• Deep Learning for Symbolic Mathematics
• Universal Neural Machine Translation for Extremely Low Resource Languages
• TAP-Net: Transport-and-Pack using Reinforcement Learning
• Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
• Semi-Supervised Variational Reasoning for Medical Dialogue Generation
• Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries
• Automated Audio Captioning: An Overview of Recent Progress and New Challenges
• Hybrid Tensor Decomposition in Neural Network Compression
• A complete state-space solution model for inviscid flow around airfoils based on physics-informed neural networks
• Time-series modeling with undecimated fully convolutional neural networks
• Unsupervised Text Style Transfer using Language Models as Discriminators
• Explaining Question Answering Models through Text Generation
• Meta-evaluation of Conversational Search Evaluation Metrics
• Larger-Context Language Modelling
• Accurate Single Stage Detector Using Recurrent Rolling Convolution
• Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
• Gmail Smart Compose: Real-Time Assisted Writing
• Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
• Visual7W: Grounded Question Answering in Images
• Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts
• Massively Multilingual Neural Machine Translation
• CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
• Challenges in Building Intelligent Open-domain Dialog Systems
• Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition
• A Survey on Symbolic Knowledge Distillation of Large Language Models
• Generative Language Modeling for Automated Theorem Proving
• Attend and Diagnose: Clinical Time Series Analysis using Attention Models
• Text Generation from Knowledge Graphs with Graph Transformers
• Adversarial Examples - A Complete Characterisation of the Phenomenon
• Sequence Length is a Domain: Length-based Overfitting in Transformer Models
• Computational linguistics and Natural Language Processing
• On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition
• Backdoors in Neural Models of Source Code
• End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label Classification
• Learning Global Features for Coreference Resolution
• Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
• Seq2Slate: Re-ranking and Slate Optimization with RNNs
• Minimum Risk Training for Neural Machine Translation
• Four Things Everyone Should Know to Improve Batch Normalization
• Compositional generalization through meta sequence-to-sequence learning
• Towards Transparent AI Systems: Interpreting Visual Question Answering Models
• Recommender systems based on graph embedding techniques: A comprehensive review
• Data Diversification: A Simple Strategy For Neural Machine Translation
• Onsets and Frames: Dual-Objective Piano Transcription
• Label-Consistent Backdoor Attacks
• DeepWrinkles: Accurate and Realistic Clothing Modeling
• Towards Ecologically Valid Research on Language User Interfaces
• LightRNN: Memory and Computation-Efficient Recurrent Neural Networks
• Neural Adaptive Sequential Monte Carlo
• Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
• Uncovering Temporal Context for Video Question and Answering
• A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
• A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem
• A Survey of Visual Transformers
• Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
• Learn to Design the Heuristics for Vehicle Routing Problem
• Generating Text with Deep Reinforcement Learning
• Answer-based Adversarial Training for Generating Clarification Questions
• Learning the Travelling Salesperson Problem Requires Rethinking Generalization
• Lingke: A Fine-grained Multi-turn Chatbot for Customer Service
• Higher Order Recurrent Neural Networks
• Tree-to-Sequence Attentional Neural Machine Translation
• Neural Speaker Diarization with Speaker-Wise Chain Rule
• Creativity and Machine Learning: A Survey
• Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
• Hierarchical Learning for Generation with Long Source Sequences
• Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
• Neural ranking models for document retrieval
• Incorporating BERT into Parallel Sequence Decoding with Adapters
• Toward automatic generation of control structures for process flow diagrams with large language models
• Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
• Advbox: a toolbox to generate adversarial examples that fool neural networks
• All SMILES Variational Autoencoder
• RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
• Not All Neural Embeddings are Born Equal
• Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
• Evaluating prose style transfer with the Bible
• Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning
• Deep Learning Based Chatbot Models
• Stochastic AUC Maximization with Deep Neural Networks
• Computer-assisted Pronunciation Training -- Speech synthesis is almost all you need
• On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition
• Combining Static and Dynamic Features for Multivariate Sequence Classification
• VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
• An empirical study on the effectiveness of images in Multimodal Neural Machine Translation
• Jointly Localizing and Describing Events for Dense Video Captioning
• Neural Headline Generation with Sentence-wise Optimization
• Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
• NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations
• Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining
• Reading Scene Text in Deep Convolutional Sequences
• Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments
• An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization
• Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
• Continual Learning for Generative Retrieval over Dynamic Corpora
• FVQA: Fact-based Visual Question Answering
• Robust Neural Machine Translation with Doubly Adversarial Inputs
• A Transformer-based Approach for Source Code Summarization
• Learning from Few Samples: A Survey
• Sequence Modeling via Segmentations
• Similarity Learning for Authorship Verification in Social Media
• CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation
• CLOSURE: Assessing Systematic Generalization of CLEVR Models
• Comparative evaluation of CNN architectures for Image Caption Generation
• TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
• Support-set bottlenecks for video-text representation learning
• Deep-Sentiment: Sentiment Analysis Using Ensemble of CNN and Bi-LSTM Models
• Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
• Predicting waves in fluids with deep neural network
• Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks
• DDTCDR: Deep Dual Transfer Cross Domain Recommendation
• A Neural Transducer
• Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
• Learning to Generate Corrective Patches using Neural Machine Translation
• Multilingual NMT with a language-independent attention bridge
• Feature Engineering and Forecasting via Derivative-free Optimization and Ensemble of Sequence-to-sequence Networks with Applications in Renewable Energy
• A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions
• Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
• Inferring pointwise diffusion properties of single trajectories with deep learning
• Revisiting Challenges in Data-to-Text Generation with Fact Grounding
• Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation
• Recurrent neural networks and transfer learning for elasto-plasticity in woven composites
• Learning to Select, Track, and Generate for Data-to-Text
• Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
• Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures
• Incorporating Discrete Translation Lexicons into Neural Machine Translation
• An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification
• Neural Generative Question Answering
• Spatial-temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction
• On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
• Zero-Resource Translation with Multi-Lingual Neural Machine Translation
• Keyphrase Generation for Scientific Document Retrieval
• PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
• Search Engine Guided Non-Parametric Neural Machine Translation
• Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech
• Finding Competitive Network Architectures Within a Day Using UCT
• Are Pre-trained Convolutions Better than Pre-trained Transformers?
• Improving Sequence-to-Sequence Acoustic Modeling by Adding Text-Supervision
• Controlling the Output Length of Neural Machine Translation
• Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization
• Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder
• Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting
• Technical Q&A Site Answer Recommendation via Question Boosting
• Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
• LSTM vs. GRU vs. Bidirectional RNN for script generation
• Variational Neural Machine Translation
• Edit Probability for Scene Text Recognition
• Generating Sentences by Editing Prototypes
• What value do explicit high level concepts have in vision to language problems?
• When Does Unsupervised Machine Translation Work?
• A Taxonomy for Neural Memory Networks
• An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
• Cerebro: Static Subsuming Mutant Selection
• ConvLab: Multi-Domain End-to-End Dialog System Platform
• A Survey of Protocol Fuzzing
• A Review of Machine Learning Applications in Fuzzing
• GypSum: Learning Hybrid Representations for Code Summarization
• Forecasting future action sequences with attention: a new approach to weakly supervised action forecasting
• Adaptive Dependency Learning Graph Neural Networks
• A Fast Unified Model for Parsing and Sentence Understanding
• Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
• A Survey of Orthographic Information in Machine Translation
• Multi-modal gated recurrent units for image description
• Deep Learning for Spatio-Temporal Data Mining: A Survey
• Creativity: Generating Diverse Questions using Variational Autoencoders
• A Tutorial on Deep Latent Variable Models of Natural Language
• A Multi-Modal Chinese Poetry Generation Model
• Improving Variational Encoder-Decoders in Dialogue Generation
• Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
• Description Based Text Classification with Reinforcement Learning
• Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
• A Kronecker-factored approximate Fisher matrix for convolution layers
• Towards Automated Customer Support
• Unsupervised Learning of Long-Term Motion Dynamics for Videos
• Imitation Learning for Non-Autoregressive Neural Machine Translation
• A Survey on Neural Network Interpretability
• Asynchronous Bidirectional Decoding for Neural Machine Translation
• A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation
• Data-driven Summarization of Scientific Articles
• Joint Training for Neural Machine Translation Models with Monolingual Data
• Exploiting Cross-Sentence Context for Neural Machine Translation
• Short-term daily precipitation forecasting with seasonally-integrated autoencoder
• Robotic Grasp Detection using Deep Convolutional Neural Networks
• Information Aware Max-Norm Dirichlet Networks for Predictive Uncertainty Estimation
• Convolutional Sequence to Sequence Model for Human Dynamics
• ProcessTransformer: Predictive Business Process Monitoring with Transformer Network
• Multimodal Transformer with Multi-View Visual Representation for Image Captioning
• Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation
• User Retention-oriented Recommendation with Decision Transformer
• A Graph-to-Sequence Model for AMR-to-Text Generation
• Generative Concatenative Nets Jointly Learn to Write and Classify Reviews
• VD-BERT: A Unified Vision and Dialog Transformer with BERT
• Real or Fake? Learning to Discriminate Machine from Human Generated Text
• Capitalization and Punctuation Restoration: a Survey
• Gated Recurrent Neural Tensor Network
• Semantic Object Parsing with Local-Global Long Short-Term Memory
• Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
• MuProp: Unbiased Backpropagation for Stochastic Neural Networks
• Extracting Sentence Embeddings from Pretrained Transformer Models
• A Conditional Variational Framework for Dialog Generation
• Text normalization using memory augmented neural networks
• Bridging the Gap between Training and Inference for Neural Machine Translation
• Compositional Generalization by Learning Analytical Expressions
• Discrete and continuous representations and processing in deep learning: Looking forward
• DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
• Data-Driven Methods for Solving Algebra Word Problems
• Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction
• GenNI: Human-AI Collaboration for Data-Backed Text Generation
• Image Captioning with Deep Bidirectional LSTMs
• Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss
• Reusing Neural Speech Representations for Auditory Emotion Recognition
• Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals
• Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs
• Semi-Supervised QA with Generative Domain-Adaptive Nets
• Program Induction by Rationale Generation : Learning to Solve and Explain Algebraic Word Problems
• They, Them, Theirs: Rewriting with Gender-Neutral English
• Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning
• INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
• First Result on Arabic Neural Machine Translation
• Incorporating Global Visual Features into Attention-Based Neural Machine Translation
• An Attentional Neural Conversation Model with Improved Specificity
• Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
• Triple descent and the two kinds of overfitting: Where & why do they appear?
• Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog
• Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencoder
• An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification
• Accelerating Transformer Inference for Translation via Parallel Decoding
• BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
• Learning Efficient Algorithms with Hierarchical Attentive Memory
• Backward and Forward Language Modeling for Constrained Sentence Generation
• Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data
• Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
• End-to-End Learning for Structured Prediction Energy Networks
• Human few-shot learning of compositional instructions
• Weakly Supervised Dense Video Captioning
• A GRU-Gated Attention Model for Neural Machine Translation
• Task Loss Estimation for Sequence Prediction
• Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda
• A cognitive neural architecture able to learn and communicate through natural language
• Towards a Robust Deep Neural Network in Texts: A Survey
• Chainer: A Deep Learning Framework for Accelerating the Research Cycle
• Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
• IcoRating: A Deep-Learning System for Scam ICO Identification
• Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models
• A Deep Memory-based Architecture for Sequence-to-Sequence Learning
• An End-to-end Neural Natural Language Interface for Databases
• View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
• Strategies for Training Large Vocabulary Neural Language Models
• A Survey of Deep Learning Approaches for OCR and Document Understanding
• On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
• Insertion-based Decoding with automatically Inferred Generation Order
• Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
• Controllable Abstractive Summarization
• Simulating Action Dynamics with Neural Process Networks
• Revisiting the Plastic Surgery Hypothesis via Large Language Models
• Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
• Partially-Supervised Image Captioning
• SupportNet: solving catastrophic forgetting in class incremental learning with support data
• A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
• Relational recurrent neural networks
• Discovering the Compositional Structure of Vector Representations with Role Learning Networks
• Learning to Design Circuits
• Leveraging Multilingual Transformers for Hate Speech Detection
• Training Recurrent Neural Networks by Diffusion
• Data Recombination for Neural Semantic Parsing
• Using Whole Document Context in Neural Machine Translation
• Temporal Learning and Sequence Modeling for a Job Recommender System
• Boosting Neural Machine Translation
• GDP: Generalized Device Placement for Dataflow Graphs
• Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference
• Design Challenges in Named Entity Transliteration
• Revisiting Low-Resource Neural Machine Translation: A Case Study
• Parallelizing Linear Recurrent Neural Nets Over Sequence Length
• A Survey on Causal Inference
• A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park Operator
• Predicting Auction Price of Vehicle License Plate with Deep Recurrent Neural Network
• KOHTD: Kazakh Offline Handwritten Text Dataset
• Boosting Neural Networks to Decompile Optimized Binaries
• iPerceive: Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering
• Deep Learning of Quantum Many-Body Dynamics via Random Driving
• Exploiting Deep Representations for Neural Machine Translation
• Long Short-Term Memory for Japanese Word Segmentation
• Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
• Spatio-Temporal Attention Models for Grounded Video Captioning
• Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context
• DeepSym: Deep Symbol Generation and Rule Learning from Unsupervised Continuous Robot Interaction for Planning
• Multilingual Language Processing From Bytes
• Interactive Attention for Neural Machine Translation
• Solving Optimization Problems through Fully Convolutional Networks: an Application to the Travelling Salesman Problem
• Towards Knowledge-Based Recommender Dialog System
• Foundations of Sequence-to-Sequence Modeling for Time Series
• Autoencoding with a Classifier System
• On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
• Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
• Dos and Don'ts of Machine Learning in Computer Security
• COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
• Recurrent Attentive Neural Process for Sequential Data
• Deep Multitask Learning for Semantic Dependency Parsing
• Optimal Physical Preprocessing for Example-Based Super-Resolution
• Training Verifiers to Solve Math Word Problems
• Cross Modal Compression: Towards Human-comprehensible Semantic Compression
• RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
• A Comprehensive Survey of Multilingual Neural Machine Translation
• A multiscale neural network based on hierarchical matrices
• LCSTS: A Large Scale Chinese Short Text Summarization Dataset
• Imputer: Sequence Modelling via Imputation and Dynamic Programming
• MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection
• Neural Language Generation: Formulation, Methods, and Evaluation
• Dialog State Tracking: A Neural Reading Comprehension Approach
• Improving Sequence-to-Sequence Learning via Optimal Transport
• Summarization, Simplification, and Generation: The Case of Patents
• Learning with hidden variables
• Evaluating Text GANs as Language Models
• TranSmart: A Practical Interactive Machine Translation System
• Accelerating Neural Transformer via an Average Attention Network
• Can We Generate Shellcodes via Natural Language? An Empirical Study
• What-If Motion Prediction for Autonomous Driving
• On Using SpecAugment for End-to-End Speech Translation
• Systematic Generalization: What Is Required and Can It Be Learned?
• AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN
• You May Not Need Attention
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• What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
• The SP theory of intelligence: distinctive features and advantages
• CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy
• Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages
• Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
• Paper Abstract Writing through Editing Mechanism
• Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks
• Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems
• Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
• Explaining Deep Neural Networks
• Recurrent Memory Networks for Language Modeling
• Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations
• Chat Detection in an Intelligent Assistant: Combining Task-oriented and Non-task-oriented Spoken Dialogue Systems
• Automatically Evolving CNN Architectures Based on Blocks
• Global Encoding for Abstractive Summarization
• Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
• Recent advances in deep learning theory
• Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
• SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
• Paraphrase Generation with Deep Reinforcement Learning
• Unsupervised Speech Recognition
• Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales
• Anchor Diffusion for Unsupervised Video Object Segmentation
• An Analysis of Abstractive Text Summarization Using Pre-trained Models
• An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
• Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval
• Neutron: An Implementation of the Transformer Translation Model and its Variants
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• Discrete Graph Structure Learning for Forecasting Multiple Time Series
• Improving Clinical Predictions through Unsupervised Time Series Representation Learning
• Materials Discovery with Extreme Properties via Reinforcement Learning-Guided Combinatorial Chemistry
• Forecasting the Spread of Covid-19 Under Control Scenarios Using LSTM and Dynamic Behavioral Models
• Self-Knowledge Distillation in Natural Language Processing
• Sigsoftmax: Reanalysis of the Softmax Bottleneck
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• Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring
• ChatGPT Code Detection: Techniques for Uncovering the Source of Code
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• Towards Conversational Recommendation over Multi-Type Dialogs
• Distilling Knowledge Learned in BERT for Text Generation
• Hybrid Pointer Networks for Traveling Salesman Problems Optimization
• Local Translation Prediction with Global Sentence Representation
• Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
• A Novel Bilingual Word Embedding Method for Lexical Translation Using Bilingual Sense Clique
• Subtask Gated Networks for Non-Intrusive Load Monitoring
• Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
• Dear Sir or Madam, May I introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer
• Noisin: Unbiased Regularization for Recurrent Neural Networks
• ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion
• Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings
• OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network
• Exploration of Neural Machine Translation in Autoformalization of Mathematics in Mizar
• Beyond the C: Retargetable Decompilation using Neural Machine Translation
• BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent Summarization
• Training with Exploration Improves a Greedy Stack-LSTM Parser
• Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection
• Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach
• You Impress Me: Dialogue Generation via Mutual Persona Perception
• Knowledge driven Description Synthesis for Floor Plan Interpretation
• SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
• Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation
• A Recurrent Neural Network Survival Model: Predicting Web User Return Time
• A Scale Invariant Flatness Measure for Deep Network Minima
• A Behavioral Approach to Visual Navigation with Graph Localization Networks
• Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
• Semi-Supervised Sequence Modeling with Cross-View Training
• HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
• Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models
• SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network
• Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks
• On Generalization Bounds of a Family of Recurrent Neural Networks
• Joint Source-Target Self Attention with Locality Constraints
• Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method
• Effects of padding on LSTMs and CNNs
• Learning compositionally through attentive guidance
• Neural Attribute Machines for Program Generation
• Towards Robust Neural Machine Translation
• SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
• Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
• SCAN: Sliding Convolutional Attention Network for Scene Text Recognition
• Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting
• Metric-Based Few-Shot Learning for Video Action Recognition
• Watch What You Just Said: Image Captioning with Text-Conditional Attention
• Action Sequence Augmentation for Early Graph-based Anomaly Detection
• Fast Second-Order Stochastic Backpropagation for Variational Inference
• Implicit Dimension Identification in User-Generated Text with LSTM Networks
• EvoJAX: Hardware-Accelerated Neuroevolution
• A backdoor attack against LSTM-based text classification systems
• Building a Neural Machine Translation System Using Only Synthetic Parallel Data
• Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information
• Merlion: A Machine Learning Library for Time Series
• Reinforcement Learning Based Emotional Editing Constraint Conversation Generation
• Zero-Shot Dual Machine Translation
• Self-Attentive Residual Decoder for Neural Machine Translation
• Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
• Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
• A machine learning and feature engineering approach for the prediction of the uncontrolled re-entry of space objects
• Getting To Know You: User Attribute Extraction from Dialogues
• Federated Learning of N-gram Language Models
• A Simplified Fully Quantized Transformer for End-to-end Speech Recognition
• Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading
• A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
• Morphological Word Segmentation on Agglutinative Languages for Neural Machine Translation
• Progressive Memory Banks for Incremental Domain Adaptation
• An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
• Comparative Explanations of Recommendations
• Persona-Based Conversational AI: State of the Art and Challenges
• Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
• Representation Learning for Electronic Health Records
• OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts
• Stories for Images-in-Sequence by using Visual and Narrative Components
• Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data
• A Deep Neural Network Approach To Parallel Sentence Extraction
• A Transfer-Learnable Natural Language Interface for Databases
• Residual Energy-Based Models for Text
• Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
• Probabilistic Forecasting with Temporal Convolutional Neural Network
• Hierarchical Poset Decoding for Compositional Generalization in Language
• Sequential Attention Source Identification Based on Feature Representation
• Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
• Learning Convolutional Text Representations for Visual Question Answering
• Interpretable Deep Learning under Fire
• SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders
• Recurrent Attention Unit
• A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification
• Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications
• HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting
• Improving Background Based Conversation with Context-aware Knowledge Pre-selection
• Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds
• Doubly Attentive Transformer Machine Translation
• Improving adversarial robustness of deep neural networks by using semantic information
• Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
• Clean-Label Backdoor Attacks on Video Recognition Models
• Ancient-Modern Chinese Translation with a Large Training Dataset
• Retrieve and Refine: Improved Sequence Generation Models For Dialogue
• A hybrid learning method for system identification and optimal control
• Fast Transient Simulation of High-Speed Channels Using Recurrent Neural Network
• A Study of Reinforcement Learning for Neural Machine Translation
• Neural System Combination for Machine Translation
• Compositionality decomposed: how do neural networks generalise?
• Learning Generic Sentence Representations Using Convolutional Neural Networks
• A Survey on Bayesian Deep Learning
• Unsupervised Pretraining for Sequence to Sequence Learning
• HUBERT Untangles BERT to Improve Transfer across NLP Tasks
• Competence-based Curriculum Learning for Neural Machine Translation
• Representation of linguistic form and function in recurrent neural networks
• MojiTalk: Generating Emotional Responses at Scale
• Matrix Encoding Networks for Neural Combinatorial Optimization
• MOTR: End-to-End Multiple-Object Tracking with Transformer
• A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters
• Deep Context-Aware Recommender System Utilizing Sequential Latent Context
• Neural Net Models for Open-Domain Discourse Coherence
• Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization
• Abstractive Dialog Summarization with Semantic Scaffolds
• Exploring Benefits of Transfer Learning in Neural Machine Translation
• Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition
• Time-aware Large Kernel Convolutions
• Augmenting Neural Machine Translation with Knowledge Graphs
• Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
• Neural Network-Based Abstract Generation for Opinions and Arguments
• Improving Robustness of Task Oriented Dialog Systems
• Human Motion Prediction via Spatio-Temporal Inpainting
• Attention Optimization for Abstractive Document Summarization
• Production Ready Chatbots: Generate if not Retrieve
• Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products
• Training Deeper Neural Machine Translation Models with Transparent Attention
• Deep Retrieval-Based Dialogue Systems: A Short Review
• VirtualHome: Simulating Household Activities via Programs
• A Survey on Document-level Neural Machine Translation: Methods and Evaluation
• Learning Structured Natural Language Representations for Semantic Parsing
• MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction
• Structured Prediction Energy Networks
• Neural Sign Language Translation based on Human Keypoint Estimation
• Attend to You: Personalized Image Captioning with Context Sequence Memory Networks
• LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
• Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
• Triangular Architecture for Rare Language Translation
• Knowledge Graph-based Question Answering with Electronic Health Records
• Efficient Algorithms for Device Placement of DNN Graph Operators
• Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
• DropDim: A Regularization Method for Transformer Networks
• On Compositionality in Neural Machine Translation
• A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation
• Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models
• A Universal Parent Model for Low-Resource Neural Machine Translation Transfer
• Neural Machine Translation with Noisy Lexical Constraints
• Kernel Change-point Detection with Auxiliary Deep Generative Models
• Grow and Prune Compact, Fast, and Accurate LSTMs
• Zero-Shot Paraphrase Generation with Multilingual Language Models
• Fact-based Text Editing
• "Mask and Infill" : Applying Masked Language Model to Sentiment Transfer
• Towards Understanding Theoretical Advantages of Complex-Reaction Networks
• A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting
• Time-dependent atomic magnetometry with a recurrent neural network
• Robustness Analysis of Visual QA Models by Basic Questions
• Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
• Neural Personalized Response Generation as Domain Adaptation
• Universal linguistic inductive biases via meta-learning
• Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data
• Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
• Progressive Transformers for End-to-End Sign Language Production
• Can Unconditional Language Models Recover Arbitrary Sentences?
• Conditional Self-Attention for Query-based Summarization
• SALSA-TEXT : self attentive latent space based adversarial text generation
• Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting
• Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
• Neural Machine Translating from Natural Language to SPARQL
• Incorporating Relation Paths in Neural Relation Extraction
• Strongly-Typed Recurrent Neural Networks
• Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation
• Explaining and Generalizing Back-Translation through Wake-Sleep
• Learning Lyapunov Functions for Piecewise Affine Systems with Neural Network Controllers
• Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
• Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints
• Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
• Deep Imitation Learning for Bimanual Robotic Manipulation
• Constrained Combinatorial Optimization with Reinforcement Learning
• Towards Coherent and Engaging Spoken Dialog Response Generation Using Automatic Conversation Evaluators
• Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention
• What they do when in doubt: a study of inductive biases in seq2seq learners
• Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation
• Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems
• A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning
• Deep Neural Machine Translation with Linear Associative Unit
• Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
• A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
• Plasma Confinement Mode Classification Using a Sequence-to-Sequence Neural Network With Attention
• Semantic Parsing with Syntax- and Table-Aware SQL Generation
• Improving the Robustness of Speech Translation
• Attributed Sequence Embedding
• Alquist: The Alexa Prize Socialbot
• Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation
• Low-Rank Bottleneck in Multi-head Attention Models
• Deep Learning Methods for Vessel Trajectory Prediction based on Recurrent Neural Networks
• A Short Survey On Memory Based Reinforcement Learning
• Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks
• Story Realization: Expanding Plot Events into Sentences
• ExplainaBoard: An Explainable Leaderboard for NLP
• Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem
• On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
• Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models
• DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction
• Learning with Memory Embeddings
• Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation
• Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation
• Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
• Tensor2Tensor for Neural Machine Translation
• Improving Multimodal Accuracy Through Modality Pre-training and Attention
• Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
• Techniques for visualizing LSTMs applied to electrocardiograms
• LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
• Deconvolution-Based Global Decoding for Neural Machine Translation
• TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
• DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator
• Deep Reinforced Query Reformulation for Information Retrieval
• Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
• Generating Chinese Classical Poems with RNN Encoder-Decoder
• A practical approach to dialogue response generation in closed domains
• Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks
• Machine learning classification of non-Markovian noise disturbing quantum dynamics
• Learning audio sequence representations for acoustic event classification
• Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations
• Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
• Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View
• Semi-Supervised Learning for Neural Keyphrase Generation
• Understanding Compressive Adversarial Privacy
• RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition
• OmniNet: A unified architecture for multi-modal multi-task learning
• Generating Distractors for Reading Comprehension Questions from Real Examinations
• PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions
• Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization
• Modeling Long-horizon Tasks as Sequential Interaction Landscapes
• Generating Natural Language Inference Chains
• End-to-end Video-level Representation Learning for Action Recognition
• Training Neural Machine Translation using Word Embedding-based Loss
• Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs
• Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models
• Style Example-Guided Text Generation using Generative Adversarial Transformers
• Robust Navigation with Language Pretraining and Stochastic Sampling
• Efficiency Evaluation of Character-level RNN Training Schedules
• Deep Learning for Embodied Vision Navigation: A Survey
• Deep Clustered Convolutional Kernels
• Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications
• Simple, Scalable Adaptation for Neural Machine Translation
• Neural Polysynthetic Language Modelling
• Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling
• Sequence to Sequence Mixture Model for Diverse Machine Translation
• Machine Speech Chain with One-shot Speaker Adaptation
• On the Initialization of Long Short-Term Memory Networks
• Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
• Predictive Auto-scaling with OpenStack Monasca
• A Robot to Shape your Natural Plant: The Machine Learning Approach to Model and Control Bio-Hybrid Systems
• Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
• Automatic Article Commenting: the Task and Dataset
• Can SGD Learn Recurrent Neural Networks with Provable Generalization?
• The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
• Autonomization of Monoidal Categories
• Deep Multimodal Representation Learning from Temporal Data
• QAScore -- An Unsupervised Unreferenced Metric for the Question Generation Evaluation
• Learning to Write Notes in Electronic Health Records
• End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
• Bias-based Universal Adversarial Patch Attack for Automatic Check-out
• A Linear Dynamical System Model for Text
• Paraphrase Augmented Task-Oriented Dialog Generation
• A Recipe for Arabic-English Neural Machine Translation
• Tucano: Advancing Neural Text Generation for Portuguese
• Contextual Parameter Generation for Universal Neural Machine Translation
• Answering Science Exam Questions Using Query Rewriting with Background Knowledge
• Cross-domain Semantic Parsing via Paraphrasing
• UTRNet: High-Resolution Urdu Text Recognition In Printed Documents
• Text2Scene: Generating Compositional Scenes from Textual Descriptions
• A Multi-Object Rectified Attention Network for Scene Text Recognition
• 3D Brain and Heart Volume Generative Models: A Survey
• On the Dimensionality of Embeddings for Sparse Features and Data
• CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation
• Neural Machine Translation For Paraphrase Generation
• Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
• Sequence-to-sequence models for workload interference
• Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview
• A Comprehensive Survey of Deep Learning for Image Captioning
• Image-based localization using LSTMs for structured feature correlation
• Connecting the Dots Between MLE and RL for Sequence Prediction
• Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
• Sequence to Sequence Learning for Optical Character Recognition
• Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation
• Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
• A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
• Hybrid Self-Attention Network for Machine Translation
• End-to-end training of object class detectors for mean average precision
• End-to-End Neural Speaker Diarization with Self-attention
• Semantic flow in language networks
• Parallel Scheduled Sampling
• CoSE: Compositional Stroke Embeddings
• Lie Access Neural Turing Machine
• EmpDG: Multiresolution Interactive Empathetic Dialogue Generation
• Forecaster: A Graph Transformer for Forecasting Spatial and Time-Dependent Data
• Multilingual Neural Machine Translation with Language Clustering
• Controlling Computation versus Quality for Neural Sequence Models
• Multi-Scale RCNN Model for Financial Time-series Classification
• Defending Against Physically Realizable Attacks on Image Classification
• Approximating Activation Functions
• Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
• Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks
• SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
• Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
• Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
• Beam Search with Bidirectional Strategies for Neural Response Generation
• Modeling Coherence for Discourse Neural Machine Translation
• Neural Lattice-to-Sequence Models for Uncertain Inputs
• Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
• Primer: Searching for Efficient Transformers for Language Modeling
• Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
• Abstractive Text Classification Using Sequence-to-convolution Neural Networks
• Voice Conversion Using Sequence-to-Sequence Learning of Context Posterior Probabilities
• Emergent Communication Pretraining for Few-Shot Machine Translation
• Image-Question-Answer Synergistic Network for Visual Dialog
• Top-down Tree Long Short-Term Memory Networks
• Incremental Adaptation of NMT for Professional Post-editors: A User Study
• Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
• CompILE: Compositional Imitation Learning and Execution
• In Conclusion Not Repetition: Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes
• Neural Graph Embedding Methods for Natural Language Processing
• Effects of Word-frequency based Pre- and Post- Processings for Audio Captioning
• Neural Classification of Malicious Scripts: A study with JavaScript and VBScript
• Human Action Generation with Generative Adversarial Networks
• DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model
• An Encoder-Decoder Framework Translating Natural Language to Database Queries
• TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation
• Non-Autoregressive Neural Dialogue Generation
• Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models
• PlumeNet: Large-Scale Air Quality Forecasting Using A Convolutional LSTM Network
• Adversarial Learning of Deepfakes in Accounting
• A Unified Generative Framework for Aspect-Based Sentiment Analysis
• Multi-View Learning for Vision-and-Language Navigation
• AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization
• Does Gender Matter? Towards Fairness in Dialogue Systems
• CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
• Semi-Autoregressive Neural Machine Translation
• Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression
• Improving Sign Language Translation with Monolingual Data by Sign Back-Translation
• Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
• WAY: Estimation of Vessel Destination in Worldwide AIS Trajectory
• T-BERT -- Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT
• Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation
• Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs
• Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
• Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts
• One-Class Adversarial Nets for Fraud Detection
• Hard-Coded Gaussian Attention for Neural Machine Translation
• Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
• Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
• Factorising AMR generation through syntax
• Adversarial Examples on Object Recognition: A Comprehensive Survey
• Equivalent and Approximate Transformations of Deep Neural Networks
• Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks
• Recurrent Neural Network Encoder with Attention for Community Question Answering
• Graph-based Multi-hop Reasoning for Long Text Generation
• Fashion Retail: Forecasting Demand for New Items
• Probabilistic Time Series Forecasting with Implicit Quantile Networks
• A Survey of Document Grounded Dialogue Systems (DGDS)
• Sentiment Transfer using Seq2Seq Adversarial Autoencoders
• Entity Commonsense Representation for Neural Abstractive Summarization
• Adversarial Attacks Beyond the Image Space
• A Baseline Neural Machine Translation System for Indian Languages
• A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
• An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain
• Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
• Improvement in Semantic Address Matching using Natural Language Processing
• LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues
• Language Style Transfer from Sentences with Arbitrary Unknown Styles
• Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems
• Artificial intelligence empowered multi-AGVs in manufacturing systems
• KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
• Compositional Generalization for Primitive Substitutions
• Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
• X-Linear Attention Networks for Image Captioning
• On the Generation of Medical Dialogues for COVID-19
• Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
• Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling
• A Dataset for Document Grounded Conversations
• Senti-Attend: Image Captioning using Sentiment and Attention
• PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction
• OCC: A Smart Reply System for Efficient In-App Communications
• Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
• Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
• Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
• Neural Machine Translation: Challenges, Progress and Future
• Defending Against Backdoor Attacks in Natural Language Generation
• Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
• Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules
• Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce
• LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention
• Residual Correction in Real-Time Traffic Forecasting
• Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
• Black Box Recursive Translations for Molecular Optimization
• Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
• Marathi To English Neural Machine Translation With Near Perfect Corpus And Transformers
• Hierarchical Learning of Cross-Language Mappings through Distributed Vector Representations for Code
• Bi-Directional Neural Machine Translation with Synthetic Parallel Data
• Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder
• ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
• DAL: Dual Adversarial Learning for Dialogue Generation
• Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search
• Solving Optical Tomography with Deep Learning
• One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases
• Neural Forecasting of the Italian Sovereign Bond Market with Economic News
• Automatic Source Code Summarization with Extended Tree-LSTM
• Deep Active Learning for Dialogue Generation
• Rethinking Irregular Scene Text Recognition
• Machine Translation: A Literature Review
• Large-time asymptotics in deep learning
• "Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention
• Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks
• Scalable Transformers for Neural Machine Translation
• FASTER Recurrent Networks for Efficient Video Classification
• Dynamic Past and Future for Neural Machine Translation
• Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification
• Adaptive Parameterization for Neural Dialogue Generation
• LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
• Combining Ensembles and Data Augmentation can Harm your Calibration
• Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
• Foreign English Accent Adjustment by Learning Phonetic Patterns
• Double Path Networks for Sequence to Sequence Learning
• Improving Back-Translation with Uncertainty-based Confidence Estimation
• Bioinformatics and Medicine in the Era of Deep Learning
• Positional Encoding to Control Output Sequence Length
• Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
• Saliency-driven Word Alignment Interpretation for Neural Machine Translation
• MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
• Improving Neural Question Generation using Answer Separation
• Photon: A Robust Cross-Domain Text-to-SQL System
• Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
• Synchronous Speech Recognition and Speech-to-Text Translation with Interactive Decoding
• Encoding Musical Style with Transformer Autoencoders
• Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations
• Neural Latent Extractive Document Summarization
• Natural Language Generation with Neural Variational Models
• Collaborative City Digital Twin For Covid-19 Pandemic: A Federated Learning Solution
• Correct-and-Memorize: Learning to Translate from Interactive Revisions
• OCoR: An Overlapping-Aware Code Retriever
• Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations
• Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
• Grammatical vs Spelling Error Correction: An Investigation into the Responsiveness of Transformer-based Language Models using BART and MarianMT
• Enhancing Machine Translation with Dependency-Aware Self-Attention
• Omni SCADA Intrusion Detection Using Deep Learning Algorithms
• Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
• ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
• Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words
• Mutual Information Scaling and Expressive Power of Sequence Models
• Building a Parallel Corpus and Training Translation Models Between Luganda and English
• Rationalizing Predictions by Adversarial Information Calibration
• Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application
• Abstractive Text Summarization using Attentive GRU based Encoder-Decoder
• AutoCaption: Image Captioning with Neural Architecture Search
• An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
• Many-to-Many Voice Transformer Network
• Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
• Contrastive Learning with Adversarial Perturbations for Conditional Text Generation
• Extracting Symptoms and their Status from Clinical Conversations
• Low-Resource Neural Machine Translation for Southern African Languages
• Inference of the three-dimensional chromatin structure and its temporal behavior
• Online Collective Animal Movement Activity Recognition
• Bag-of-Words as Target for Neural Machine Translation
• Context based Text-generation using LSTM networks
• FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech Synthesis
• Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
• Deep context: end-to-end contextual speech recognition
• Espresso: Efficient Forward Propagation for BCNNs
• Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
• Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
• Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation
• Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks
• Lattice-Based Transformer Encoder for Neural Machine Translation
• Neural Machine Translation with Byte-Level Subwords
• Deep learning for time series classification
• CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network
• Language Models are Good Translators
• First Experiments with Neural Translation of Informal to Formal Mathematics
• baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
• Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation
• Learning Deep Neural Network Policies with Continuous Memory States
• Norm-Based Curriculum Learning for Neural Machine Translation
• Image Transformation can make Neural Networks more robust against Adversarial Examples
• Lattice Transformer for Speech Translation
• A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
• Clinical Text Summarization with Syntax-Based Negation and Semantic Concept Identification
• On Synthetic Data for Back Translation
• Dynamic Multi-Branch Layers for On-Device Neural Machine Translation
• Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings
• Modelling turbulent premixed flames using convolutional neural networks: application to sub-grid scale variance and filtered reaction rate
• ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
• Network Embedding via Deep Prediction Model
• ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting
• Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
• Keyphrase Generation with Correlation Constraints
• Generating Commit Messages from Git Diffs
• Improved Natural Language Generation via Loss Truncation
• A Unifying Framework of Attention-based Neural Load Forecasting
• Deep Sequence Models for Text Classification Tasks
• Learning Neural Templates for Text Generation
• Reducing Quantity Hallucinations in Abstractive Summarization
• COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
• Regularizing Neural Machine Translation by Target-bidirectional Agreement
• AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients
• Integrated perception with recurrent multi-task neural networks
• Improving Domain Adaptation Translation with Domain Invariant and Specific Information
• Detecting Context Dependent Messages in a Conversational Environment
• Keep CALM and Explore: Language Models for Action Generation in Text-based Games
• Adding Attentiveness to the Neurons in Recurrent Neural Networks
• Multi-label Prediction in Time Series Data using Deep Neural Networks
• Investigating Multilingual NMT Representations at Scale
• Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
• Vocabulary Manipulation for Neural Machine Translation
• Distilling Model Knowledge
• Synchronous Bidirectional Inference for Neural Sequence Generation
• Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
• FastS2S-VC: Streaming Non-Autoregressive Sequence-to-Sequence Voice Conversion
• AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
• Positional Normalization
• Towards Neural Decompilation
• Chunk-Based Bi-Scale Decoder for Neural Machine Translation
• Proximal Backpropagation
• AffinityNet: semi-supervised few-shot learning for disease type prediction
• Adversarial Training with Contrastive Learning in NLP
• Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation
• A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
• A Simple Dual-decoder Model for Generating Response with Sentiment
• Text-to-SQL Generation for Question Answering on Electronic Medical Records
• A Novel Framework for Neural Architecture Search in the Hill Climbing Domain
• Question Type Guided Attention in Visual Question Answering
• Optimizing for Interpretability in Deep Neural Networks with Tree Regularization
• Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation
• Language Graph Distillation for Low-Resource Machine Translation
• Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
• Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs
• Neural Machine Translation: A Review of Methods, Resources, and Tools
• Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
• Generative Dynamic Patch Attack
• Attention based end to end Speech Recognition for Voice Search in Hindi and English
• Unsupervised Machine Commenting with Neural Variational Topic Model
• On the interplay between data structure and loss function in classification problems
• Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
• Self-Supervised Video Representation Learning With Odd-One-Out Networks
• Deep Keyphrase Generation
• Probing Neural Dialog Models for Conversational Understanding
• Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
• Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
• On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
• TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
• Context Aware Machine Learning
• VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles
• Neural Arithmetic Expression Calculator
• Conditional Temporal Neural Processes with Covariance Loss
• Semantic Object Parsing with Graph LSTM
• Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders
• A study of latent monotonic attention variants
• Modernizing Historical Documents: a User Study
• Large-Scale Self- and Semi-Supervised Learning for Speech Translation
• Extending Neural Generative Conversational Model using External Knowledge Sources
• Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter
• A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
• Deep Learning in Information Security
• Recurrent Graph Syntax Encoder for Neural Machine Translation
• QuickEdit: Editing Text & Translations by Crossing Words Out
• Physically Feasible Vehicle Trajectory Prediction
• Multiscale Collaborative Deep Models for Neural Machine Translation
• Anomaly Detection using Deep Reconstruction and Forecasting for Autonomous Systems
• Towards End-to-End Text Spotting in Natural Scenes
• Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
• Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
• Link Prediction using Embedded Knowledge Graphs
• Transformers for One-Shot Visual Imitation
• LSTM-Based Predictions for Proactive Information Retrieval
• Learning Forward Reuse Distance
• Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
• Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
• What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks
• Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce
• Deep Neural Network Based Active User Detection for Grant-free NOMA Systems
• Knowledge Injection into Dialogue Generation via Language Models
• A Benchmark Dataset for Learning to Intervene in Online Hate Speech
• Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer
• Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks
• Sentence Simplification with Memory-Augmented Neural Networks
• Learning advanced mathematical computations from examples
• ReWE: Regressing Word Embeddings for Regularization of Neural Machine Translation Systems
• Towards Making the Most of Context in Neural Machine Translation
• Neural Chinese Word Segmentation as Sequence to Sequence Translation
• Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation
• Structuring Latent Spaces for Stylized Response Generation
• Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation
• An Features Extraction and Recognition Method for Underwater Acoustic Target Based on ATCNN
• On Sparsifying Encoder Outputs in Sequence-to-Sequence Models
• Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor
• Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
• Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
• Better Sign Language Translation with STMC-Transformer
• Enterprise to Computer: Star Trek chatbot
• Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever
• Weakly Supervised Deep Recurrent Neural Networks for Basic Dance Step Generation
• Opinion Recommendation using Neural Memory Model
• RefNet: A Reference-aware Network for Background Based Conversation
• Neural Machine Transliteration: Preliminary Results
• DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
• Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
• On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
• Data-to-Text Generation with Style Imitation
• What Makes A Good Story? Designing Composite Rewards for Visual Storytelling
• Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting
• AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
• Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning
• Neural Machine Translation with Adequacy-Oriented Learning
• Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation
• CNN Is All You Need
• A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
• Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations
• Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions
• Generative Models For Deep Learning with Very Scarce Data
• Insertion-Deletion Transformer
• Story Ending Generation with Incremental Encoding and Commonsense Knowledge
• Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese
• Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic
• GapPredict: A Language Model for Resolving Gaps in Draft Genome Assemblies
• Fast Sequence Generation with Multi-Agent Reinforcement Learning
• Generative Visual Dialogue System via Adaptive Reasoning and Weighted Likelihood Estimation
• Object Recognition from Short Videos for Robotic Perception
• Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration
• Deep execution monitor for robot assistive tasks
• Compositional Generalization via Semantic Tagging
• Weight Pruning via Adaptive Sparsity Loss
• Differentiable lower bound for expected BLEU score
• Hierarchically Regularized Deep Forecasting
• Conditional Text Generation for Harmonious Human-Machine Interaction
• Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers
• What Is Considered Complete for Visual Recognition?
• Neural Response Generation with Meta-Words
• Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
• Towards Neural Machine Translation with Partially Aligned Corpora
• Empirical Study on Deep Learning Models for Question Answering
• Neural Clustering Processes
• Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification
• Cross-lingual Distillation for Text Classification
• Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
• Beyond English-Only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian
• Multi-Task Learning for Cross-Lingual Abstractive Summarization
• Enabling Automatic Repair of Source Code Vulnerabilities Using Data-Driven Methods
• Visual Referring Expression Recognition: What Do Systems Actually Learn?
• Conditional Generation and Snapshot Learning in Neural Dialogue Systems
• A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT
• Retrieve and Refine: Exemplar-based Neural Comment Generation
• Cue Me In: Content-Inducing Approaches to Interactive Story Generation
• Exploring Neural Models for Parsing Natural Language into First-Order Logic
• A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback
• Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing
• Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks
• Image Captioning based on Deep Learning Methods: A Survey
• SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
• Unsupervised Learning of Predictors from Unpaired Input-Output Samples
• Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training
• Simplifying Paragraph-level Question Generation via Transformer Language Models
• Improving Question Generation With to the Point Context
• Generating Responses Expressing Emotion in an Open-domain Dialogue System
• Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation
• Tag-less Back-Translation
• Data Augmentation for Neural Online Chat Response Selection
• AQEyes: Visual Analytics for Anomaly Detection and Examination of Air Quality Data
• Trimming and Improving Skip-thought Vectors
• A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation
• Improving the Coverage and the Generalization Ability of Neural Word Sense Disambiguation through Hypernymy and Hyponymy Relationships
• LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese
• End-to-end Image Captioning Exploits Multimodal Distributional Similarity
• The 2020 ESPnet update: new features, broadened applications, performance improvements, and future plans
• Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models
• Refining Source Representations with Relation Networks for Neural Machine Translation
• Neural Network for NILM Based on Operational State Change Classification
• Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection
• Bilingual-GAN: A Step Towards Parallel Text Generation
• Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding
• End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
• Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
• On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation
• Set-to-Sequence Methods in Machine Learning: a Review
• Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
• PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
• ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation
• Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
• When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting
• An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation
• Distributional Reinforcement Learning for Energy-Based Sequential Models
• Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages
• Doubly-Attentive Decoder for Multi-modal Neural Machine Translation
• Shared-Private Bilingual Word Embeddings for Neural Machine Translation
• Finding online neural update rules by learning to remember
• Recurrent Neural Networks as Weighted Language Recognizers
• Language Modeling with Sparse Product of Sememe Experts
• Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents
• A contribution to Optimal Transport on incomparable spaces
• LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
• End-to-End Video Captioning with Multitask Reinforcement Learning
• Latent Relation Language Models
• Retrieval-Enhanced Adversarial Training for Neural Response Generation
• Improving Neural Text Simplification Model with Simplified Corpora
• Calibration and Consistency of Adversarial Surrogate Losses
• Human Motion Anticipation with Symbolic Label
• Differentiable programming and its applications to dynamical systems
• Top-down Visual Saliency Guided by Captions
• Towards Decoding as Continuous Optimization in Neural Machine Translation
• DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
• Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents
• Improving Retrieval Modeling Using Cross Convolution Networks And Multi Frequency Word Embedding
• Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
• Reflective Decoding Network for Image Captioning
• Sequential Copying Networks
• Improved Mask-CTC for Non-Autoregressive End-to-End ASR
• Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
• Imbalanced Image Classification with Complement Cross Entropy
• Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech
• Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation
• Neural Name Translation Improves Neural Machine Translation
• Topic-Guided Abstractive Text Summarization: a Joint Learning Approach
• STRATA: Simple, Gradient-Free Attacks for Models of Code
• Attention-based Vocabulary Selection for NMT Decoding
• Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
• Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model
• Informative Image Captioning with External Sources of Information
• Automatic Conditional Generation of Personalized Social Media Short Texts
• Argument Generation with Retrieval, Planning, and Realization
• A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer
• End-to-End Spoken Language Translation
• Discovery of Natural Language Concepts in Individual Units of CNNs
• Audio-Linguistic Embeddings for Spoken Sentences
• Session-based Sequential Skip Prediction via Recurrent Neural Networks
• Adaptive Sequence Submodularity
• Evaluating Rewards for Question Generation Models
• Self-Attentive Model for Headline Generation
• A Data Efficient End-To-End Spoken Language Understanding Architecture
• On the Communication Latency of Wireless Decentralized Learning
• CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
• Teaching Machines to Converse
• Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
• Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
• Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation
• Semantic-aware Image Deblurring
• Learning from Fact-checkers: Analysis and Generation of Fact-checking Language
• Improving Robustness and Generality of NLP Models Using Disentangled Representations
• HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections
• Learning to Rank Learning Curves
• From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information
• Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting
• Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
• Designing Precise and Robust Dialogue Response Evaluators
• Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning
• Active${}^2$ Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
• A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
• Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation
• Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
• Why Neural Machine Translation Prefers Empty Outputs
• A Taxonomy of Empathetic Response Intents in Human Social Conversations
• MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
• Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
• A Unified Generative Framework for Various NER Subtasks
• Prevent the Language Model from being Overconfident in Neural Machine Translation
• Revisiting Neural Program Smoothing for Fuzzing
• SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
• Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements
• Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks
• Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency
• The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
• CoSA: Scheduling by Constrained Optimization for Spatial Accelerators
• DAGNN: Demand-aware Graph Neural Networks for Session-based Recommendation
• Collaborative Label Correction via Entropy Thresholding
• Knowledge-Grounded Dialogue Generation with Pre-trained Language Models
• Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
• MQTransformer: Multi-Horizon Forecasts with Context Dependent and Feedback-Aware Attention
• Multi-span Style Extraction for Generative Reading Comprehension
• A Large-Scale Chinese Short-Text Conversation Dataset
• Uncertainty Prediction for Deep Sequential Regression Using Meta Models
• Do sequence-to-sequence VAEs learn global features of sentences?
• Reference Language based Unsupervised Neural Machine Translation
• Better Captioning with Sequence-Level Exploration
• Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning
• MOSS: End-to-End Dialog System Framework with Modular Supervision
• Imitation Learning for Human Pose Prediction
• DLGNet: A Transformer-based Model for Dialogue Response Generation
• Denoising based Sequence-to-Sequence Pre-training for Text Generation
• Improving Neural Machine Translation with Pre-trained Representation
• A Realistic Face-to-Face Conversation System based on Deep Neural Networks
• ARAML: A Stable Adversarial Training Framework for Text Generation
• Deep Neural Network for Semantic-based Text Recognition in Images
• Visualizing RNN States with Predictive Semantic Encodings
• Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
• Engineering problems in machine learning systems
• Negative Training for Neural Dialogue Response Generation
• BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
• Towards Solving Text-based Games by Producing Adaptive Action Spaces
• Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
• Sequence Generation with Guider Network
• On Evaluating the Generalization of LSTM Models in Formal Languages
• Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks
• Finding Similar Medical Questions from Question Answering Websites
• Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder
• Optimal Completion Distillation for Sequence Learning
• Chinese Poetry Generation with a Salient-Clue Mechanism
• Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark
• Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots
• Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
• Cell-aware Stacked LSTMs for Modeling Sentences
• Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat
• Two Local Models for Neural Constituent Parsing
• Why Do Neural Response Generation Models Prefer Universal Replies?
• Robust Neural Malware Detection Models for Emulation Sequence Learning
• Automated proof synthesis for propositional logic with deep neural networks
• A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification
• SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
• DPRed: Making Typical Activation and Weight Values Matter In Deep Learning Computing
• Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation
• CONE: Community Oriented Network Embedding
• Spelling Correction as a Foreign Language
• Representing Sentences as Low-Rank Subspaces
• Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification
• Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization
• Rectified Factor Networks
• Incorporating Chinese Characters of Words for Lexical Sememe Prediction
• Computer Assisted Composition with Recurrent Neural Networks
• Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
• Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation
• Text Generation with Exemplar-based Adaptive Decoding
• Integrating Image Captioning with Rule-based Entity Masking
• Practical Perspectives on Quality Estimation for Machine Translation
• Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
• Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
• A New Look at Ghost Normalization
• Adaptive Nearest Neighbor Machine Translation
• Cseq2seq: Cyclic Sequence-to-Sequence Learning
• Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
• Hierarchical Recurrent Neural Network for Video Summarization
• Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
• Code-switching pre-training for neural machine translation
• Visual Fashion-Product Search at SK Planet
• Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
• Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
• Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
• LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
• Multi-stage Pretraining for Abstractive Summarization
• Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model
• What do Deep Networks Like to Read?
• Chinese User Service Intention Classification Based on Hybrid Neural Network
• Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters
• Predicting Target Language CCG Supertags Improves Neural Machine Translation
• SACT: Self-Aware Multi-Space Feature Composition Transformer for Multinomial Attention for Video Captioning
• AR: Auto-Repair the Synthetic Data for Neural Machine Translation
• Evaluating Explanation Methods for Neural Machine Translation
• Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
• Improving Non-autoregressive Neural Machine Translation with Monolingual Data
• Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
• The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues
• A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
• DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances
• Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing
• Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes
• Learning Effective Representations for Person-Job Fit by Feature Fusion
• FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting
• Plug and Play Autoencoders for Conditional Text Generation
• Tensorized Transformer for Dynamical Systems Modeling
• Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning
• SASRA: Semantically-aware Spatio-temporal Reasoning Agent for Vision-and-Language Navigation in Continuous Environments
• Encode, Tag, Realize: High-Precision Text Editing
• Closed-Book Training to Improve Summarization Encoder Memory
• Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
• Sparse Text Generation
• Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks
• Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
• Learning from Videos with Deep Convolutional LSTM Networks
• Learning to Read by Spelling: Towards Unsupervised Text Recognition
• Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data
• Partial Discharge Detection on Aerial Covered Conductors Using Time-Series Decomposition and Long Short-term Memory Network
• DiaNet: BERT and Hierarchical Attention Multi-Task Learning of Fine-Grained Dialect
• Interpretation of Natural Language Rules in Conversational Machine Reading
• Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search
• memeBot: Towards Automatic Image Meme Generation
• Consistency and Coherency Enhanced Story Generation
• Learning Prototype-oriented Set Representations for Meta-Learning
• Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
• Extendable Neural Matrix Completion
• Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework
• Pre-Training for Query Rewriting in A Spoken Language Understanding System
• DeepSoft: A vision for a deep model of software
• High-level Features for Resource Economy and Fast Learning in Skill Transfer
• Multilingual Neural Machine Translation for Zero-Resource Languages
• Towards a parallel corpus of Portuguese and the Bantu language Emakhuwa of Mozambique
• Multi-Unit Transformers for Neural Machine Translation
• Regularizing Dialogue Generation by Imitating Implicit Scenarios
• A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs
• A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data
• GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction
• Towards Trainable Media: Using Waves for Neural Network-Style Training
• Disentangling Language and Knowledge in Task-Oriented Dialogs
• Designing dialogue systems: A mean, grumpy, sarcastic chatbot in the browser
• Mollifying Networks
• Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions
• Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
• Subword Sampling for Low Resource Word Alignment
• Teaching Machines to Code: Neural Markup Generation with Visual Attention
• Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation
• Parallel Data Augmentation for Formality Style Transfer
• Distilling Knowledge for Search-based Structured Prediction
• Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples
• A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
• Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring
• Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition Architecture
• A Hybrid Vision Transformer Approach for Mathematical Expression Recognition
• Efficient Synthesis of Compact Deep Neural Networks
• LLM-based IR-system for Bank Supervisors
• Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds
• Product Title Refinement via Multi-Modal Generative Adversarial Learning
• Refining Source Representations with Relation Networks for Neural Machine Translation
• Learning Oculomotor Behaviors from Scanpath
• Multiple instance learning for sequence data with across bag dependencies
• TensorCoder: Dimension-Wise Attention via Tensor Representation for Natural Language Modeling
• Zero-pronoun Data Augmentation for Japanese-to-English Translation
• Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance
• Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation
• Select and Attend: Towards Controllable Content Selection in Text Generation
• Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation
• Trends and Advancements in Deep Neural Network Communication
• Scenario optimization for optimal training of Echo State Networks
• ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation
• A Brief Survey of Multilingual Neural Machine Translation
• A Runtime-Based Computational Performance Predictor for Deep Neural Network Training
• Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation
• Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions
• A dataset for resolving referring expressions in spoken dialogue via contextual query rewrites (CQR)
• Personalized Event Prediction for Electronic Health Records
• Sentiment Analysis of German Twitter
• Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
• Learning to Reuse Translations: Guiding Neural Machine Translation with Examples
• Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit
• Robust Neural Machine Translation with Joint Textual and Phonetic Embedding
• Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoff
• Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
• Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors
• Word-based Domain Adaptation for Neural Machine Translation
• RMSim: Controlled Respiratory Motion Simulation on Static Patient Scans
• Neural Argument Generation Augmented with Externally Retrieved Evidence
• Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure
• Cross-Attention End-to-End ASR for Two-Party Conversations
• Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept
• Latent Topic Conversational Models
• Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
• Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems
• On-the-Fly Syntax Highlighting using Neural Networks
• Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing
• Neural Open Information Extraction
• Collaborative Motion Prediction via Neural Motion Message Passing
• Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation
• Enhancing Dialogue Generation via Multi-Level Contrastive Learning
• MLBiNet: A Cross-Sentence Collective Event Detection Network
• Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
• Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
• Bridging Semantic Gaps between Natural Languages and APIs with Word Embedding
• Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph
• Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs
• DeepSumm -- Deep Code Summaries using Neural Transformer Architecture
• Question Answering as an Automatic Evaluation Metric for News Article Summarization
• An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation
• CFGs-2-NLU: Sequence-to-Sequence Learning for Mapping Utterances to Semantics and Pragmatics
• An Empirical Study of Language CNN for Image Captioning
• Multimodal Differential Network for Visual Question Generation
• Bringing back simplicity and lightliness into neural image captioning
• An Empirical Study on Neural Keyphrase Generation
• DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
• One-Shot Learning on Attributed Sequences
• Rethinking Perturbations in Encoder-Decoders for Fast Training
• Unsupervised Representation Learning of DNA Sequences
• Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts
• AON: Towards Arbitrarily-Oriented Text Recognition
• Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
• Learning Vehicle Routing Problems using Policy Optimisation
• Real-Time Workload Classification during Driving using HyperNetworks
• Forecasting in multivariate irregularly sampled time series with missing values
• Contrastive Attention Mechanism for Abstractive Sentence Summarization
• Embeddings and Representation Learning for Structured Data
• How to Build User Simulators to Train RL-based Dialog Systems
• Adaptive Transfer Learning of Multi-View Time Series Classification
• Findings of the Second Workshop on Neural Machine Translation and Generation
• Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language
• Stochastic Learning of Nonstationary Kernels for Natural Language Modeling
• Variational Tracking and Prediction with Generative Disentangled State-Space Models
• Syntax-Infused Variational Autoencoder for Text Generation
• FFR V1.0: Fon-French Neural Machine Translation
• The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
• Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks
• Human Action Sequence Classification
• Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training
• A Worrying Analysis of Probabilistic Time-series Models for Sales Forecasting
• Neural Aesthetic Image Reviewer
• Automatic Neural Lyrics and Melody Composition
• Speech-to-speech Translation between Untranscribed Unknown Languages
• An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models
• Context Attentive Document Ranking and Query Suggestion
• Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
• Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
• Style Obfuscation by Invariance
• Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
• Recurrent Neural Network-based Model for Accelerated Trajectory Analysis in AIMD Simulations
• Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism
• Multi-task Learning for Multilingual Neural Machine Translation
• Syntax-Aware Language Modeling with Recurrent Neural Networks
• P-ODN: Prototype based Open Deep Network for Open Set Recognition
• Pointing Novel Objects in Image Captioning
• Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
• MuFuRU: The Multi-Function Recurrent Unit
• Target Guided Emotion Aware Chat Machine
• Persian Keyphrase Generation Using Sequence-to-Sequence Models
• Generating Rich Product Descriptions for Conversational E-commerce Systems
• A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation
• Revisiting Deep Architectures for Head Motion Prediction in 360° Videos
• Regression as Classification: Influence of Task Formulation on Neural Network Features
• Simplifying Sentences with Sequence to Sequence Models
• Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation
• Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts
• Repurposing Decoder-Transformer Language Models for Abstractive Summarization
• Document-level Neural Machine Translation with Document Embeddings
• THEaiTRE: Artificial Intelligence to Write a Theatre Play
• Learning Recurrent Binary/Ternary Weights
• DSS: Synthesizing long Digital Ink using Data augmentation, Style encoding and Split generation
• Direct Output Connection for a High-Rank Language Model
• Multi-Source Syntactic Neural Machine Translation
• Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation
• Confidence Modeling for Neural Semantic Parsing
• Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation
• A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
• Question Generation from SQL Queries Improves Neural Semantic Parsing
• Reinforced Dynamic Reasoning for Conversational Question Generation
• Energy-Based Models with Applications to Speech and Language Processing
• Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner
• Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing
• Search and Learning for Unsupervised Text Generation
• Pretraining Techniques for Sequence-to-Sequence Voice Conversion
• Knowledge transfer in deep block-modular neural networks
• Safeguarded Dynamic Label Regression for Generalized Noisy Supervision
• How did the discussion go: Discourse act classification in social media conversations
• Variation Enhanced Attacks Against RRAM-based Neuromorphic Computing System
• The boundaries of meaning: a case study in neural machine translation
• MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
• DeepFault: Fault Localization for Deep Neural Networks
• Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models
• A Competence-aware Curriculum for Visual Concepts Learning via Question Answering
• Computational Morphology with Neural Network Approaches
• Title-Guided Encoding for Keyphrase Generation
• Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
• Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification
• Improving generation quality of pointer networks via guided attention
• Token-level Adaptive Training for Neural Machine Translation
• A Walk-based Model on Entity Graphs for Relation Extraction
• Investigation of learning abilities on linguistic features in sequence-to-sequence text-to-speech synthesis
• ISA: An Intelligent Shopping Assistant
• Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories
• What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding
• Neural Machine Translation with Source-Side Latent Graph Parsing
• Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals
• Reading Comprehension using Entity-based Memory Network
• Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
• Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning
• Fine-grained Sentiment Controlled Text Generation
• Predict-then-Decide: A Predictive Approach for Wait or Answer Task in Dialogue Systems
• Modular Representation of Layered Neural Networks
• FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire
• Automating App Review Response Generation Based on Contextual Knowledge
• Consumer Behaviour in Retail: Next Logical Purchase using Deep Neural Network
• GraphTTS: graph-to-sequence modelling in neural text-to-speech
• Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
• Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream
• Unsupervised Text Summarization via Mixed Model Back-Translation
• Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
• Multi-sense Definition Modeling using Word Sense Decompositions
• Analogous Process Structure Induction for Sub-event Sequence Prediction
• Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
• On the Discrepancy between Density Estimation and Sequence Generation
• COSEA: Convolutional Code Search with Layer-wise Attention
• Improving type information inferred by decompilers with supervised machine learning
• DTMT: A Novel Deep Transition Architecture for Neural Machine Translation
• Goal-directed Generation of Discrete Structures with Conditional Generative Models
• A New Perspective for Flexible Feature Gathering in Scene Text Recognition Via Character Anchor Pooling
• Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation
• Evaluation of Unsupervised Compositional Representations
• Multilingual Speech Recognition for Low-Resource Indian Languages using Multi-Task conformer
• Representation Learning of Pedestrian Trajectories Using Actor-Critic Sequence-to-Sequence Autoencoder
• Neural Machine Translation via Binary Code Prediction
• Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow
• A Generative Approach to Question Answering
• MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
• End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification
• Compressing LSTM Networks by Matrix Product Operators
• Attention Guided Dialogue State Tracking with Sparse Supervision
• Keyword Extraction for Improved Document Retrieval in Conversational Search
• MC-LSTM: Mass-Conserving LSTM
• Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities
• Neural Academic Paper Generation
• Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
• A Bayesian neural network predicts the dissolution of compact planetary systems
• Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
• Discriminative Multi-modality Speech Recognition
• Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
• Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout
• Improving Neural Question Generation using World Knowledge
• Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions
• From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction
• Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
• Creative Procedural-Knowledge Extraction From Web Design Tutorials
• Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing
• CORE: Automatic Molecule Optimization Using Copy & Refine Strategy
• Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
• Multi-Task Time Series Forecasting With Shared Attention
• Temporal Collaborative Ranking Via Personalized Transformer
• Network Automatic Pruning: Start NAP and Take a Nap
• DeepPoison: Feature Transfer Based Stealthy Poisoning Attack
• Deep Reinforcement Learning with Quantum-inspired Experience Replay
• Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units
• Federated Natural Language Generation for Personalized Dialogue System
• Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices
• Differential Recurrent Neural Network and its Application for Human Activity Recognition
• Understanding Community Structure in Layered Neural Networks
• Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation
• An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search
• Denoising Autoencoders for fast Combinatorial Black Box Optimization
• This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation
• Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation
• Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning
• Microblog Hashtag Generation via Encoding Conversation Contexts
• Artificial Neural Network for Cybersecurity: A Comprehensive Review
• Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI
• Finding Better Subword Segmentation for Neural Machine Translation
• Knowledge Amalgam: Generating Jokes and Quotes Together
• Deep Sequence Learning with Auxiliary Information for Traffic Prediction
• Falls Prediction Based on Body Keypoints and Seq2Seq Architecture
• The MUIR Framework: Cross-Linking MOOC Resources to Enhance Discussion Forums
• Synchronous Bidirectional Neural Machine Translation
• Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
• A Stock Selection Method Based on Earning Yield Forecast Using Sequence Prediction Models
• A Framework for Hierarchical Multilingual Machine Translation
• JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
• Android Security using NLP Techniques: A Review
• Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task
• Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
• Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
• Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages
• Deep Generation of Coq Lemma Names Using Elaborated Terms
• Smaller Models, Better Generalization
• Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning
• Blind Adversarial Training: Balance Accuracy and Robustness
• Phrase Table as Recommendation Memory for Neural Machine Translation
• Explicit Reordering for Neural Machine Translation
• When deep learning meets causal inference: a computational framework for drug repurposing from real-world data
• Learning sentence embeddings using Recursive Networks
• RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
• Knowledge Discovery from Layered Neural Networks based on Non-negative Task Decomposition
• Learning to Generate Code Comments from Class Hierarchies
• GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction
• Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation
• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing
• RefSum: Refactoring Neural Summarization
• Condition-Transforming Variational AutoEncoder for Conversation Response Generation
• Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach
• Ensemble Fine-tuned mBERT for Translation Quality Estimation
• Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks
• Constrained Text Generation with Global Guidance -- Case Study on CommonGen
• Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans
• Controllable and Diverse Text Generation in E-commerce
• An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
• Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation
• Meta Back-translation
• Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation
• Guiding Topic Flows in the Generative Chatbot by Enhancing the ConceptNet with the Conversation Corpora
• On the Regularity of Attention
• Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
• Learning an Executable Neural Semantic Parser
• Adversarial Bootstrapping for Dialogue Model Training
• Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer
• Neural network-based modelling of unresolved stresses in a turbulent reacting flow with mean shear
• 3D Human motion anticipation and classification
• Alignment Attention by Matching Key and Query Distributions
• Optimal Design Emulators: A Point Process Approach
• ResiliNet: Failure-Resilient Inference in Distributed Neural Networks
• A Hybrid Word-Character Approach to Abstractive Summarization
• GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
• Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English
• Composing Answer from Multi-spans for Reading Comprehension
• Temporally Identity-Aware SSD with Attentional LSTM
• Data Troubles in Sentence Level Confidence Estimation for Machine Translation
• Towards Interlingua Neural Machine Translation
• Urban flows prediction from spatial-temporal data using machine learning: A survey
• Video captioning with stacked attention and semantic hard pull
• Structural Inductive Biases in Emergent Communication
• Character n-gram Embeddings to Improve RNN Language Models
• PoMo: Generating Entity-Specific Post-Modifiers in Context
• Neural Language Modeling for Contextualized Temporal Graph Generation
• Limitations of Autoregressive Models and Their Alternatives
• A Unified Framework for Quantum Supervised Learning
• Lexicon-constrained Copying Network for Chinese Abstractive Summarization
• Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
• Multilevel Text Normalization with Sequence-to-Sequence Networks and Multisource Learning
• Shallow-to-Deep Training for Neural Machine Translation
• Promoting Diversity for End-to-End Conversation Response Generation
• Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference
• Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models
• Understanding and Controlling Memory in Recurrent Neural Networks
• Generating Diverse Story Continuations with Controllable Semantics
• Cue-word Driven Neural Response Generation with a Shrinking Vocabulary
• Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification
• Humanoid: A Deep Learning-based Approach to Automated Black-box Android App Testing
• Improving Text Generation with Student-Forcing Optimal Transport
• Object Tracking Using Spatio-Temporal Future Prediction
• Generalizing Natural Language Analysis through Span-relation Representations
• Improved Predictive Deep Temporal Neural Networks with Trend Filtering
• Hierarchical Memory Decoding for Video Captioning
• Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy
• SciSummPip: An Unsupervised Scientific Paper Summarization Pipeline
• Meta-Embeddings Based On Self-Attention
• Deep Learning for Flight Demand Forecasting
• SentenceMIM: A Latent Variable Language Model
• On-the-Fly Adaptation of Source Code Models using Meta-Learning
• Mask-Align: Self-Supervised Neural Word Alignment
• User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
• Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
• A review of on-device fully neural end-to-end automatic speech recognition algorithms
• Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
• Relational State-Space Model for Stochastic Multi-Object Systems
• Neural Machine Translation: A Review and Survey
• When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation
• Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition
• A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
• Long Short-Term Memory with Dynamic Skip Connections
• Do RNNs learn human-like abstract word order preferences?
• Tackling Graphical NLP problems with Graph Recurrent Networks
• On the Generation of Medical Question-Answer Pairs
• Towards Coherent and Cohesive Long-form Text Generation
• AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection
• Neural Machine Translation with Explicit Phrase Alignment
• A sequential guiding network with attention for image captioning
• Relevance-Promoting Language Model for Short-Text Conversation
• DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning
• Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification
• Less is more: Selecting informative and diverse subsets with balancing constraints
• Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
• Towards End-to-End Learning for Efficient Dialogue Agent by Modeling Looking-ahead Ability
• Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interaction
• Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
• Quantum Optical Experiments Modeled by Long Short-Term Memory
• Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
• Tackling Sequence to Sequence Mapping Problems with Neural Networks
• Empirical Autopsy of Deep Video Captioning Frameworks
• Reinforced Generative Adversarial Network for Abstractive Text Summarization
• Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
• Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension
• The Pitfall of Evaluating Performance on Emerging AI Accelerators
• Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
• Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning
• Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
• Dependency Parsing with LSTMs: An Empirical Evaluation
• Semantic Parsing with Dual Learning
• Towards A Multi-agent System for Online Hate Speech Detection
• Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
• TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus
• CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection
• A Finer Calibration Analysis for Adversarial Robustness
• Cross-Lingual Vision-Language Navigation
• Controlling Utterance Length in NMT-based Word Segmentation with Attention
• Chained Predictions Using Convolutional Neural Networks
• A Large-Scale CNN Ensemble for Medication Safety Analysis
• Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues
• Prose for a Painting
• Controllable Dual Skew Divergence Loss for Neural Machine Translation
• Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
• Multilingual Dialogue Generation with Shared-Private Memory
• Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation
• Paraphrase Generation as Unsupervised Machine Translation
• Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
• Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systems
• Towards one-shot learning for rare-word translation with external experts
• Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning
• MULE: Multimodal Universal Language Embedding
• Partially-Aligned Data-to-Text Generation with Distant Supervision
• Improving Long Distance Slot Carryover in Spoken Dialogue Systems
• Look-ahead Attention for Generation in Neural Machine Translation
• KoSpeech: Open-Source Toolkit for End-to-End Korean Speech Recognition
• Grammar-Based Grounded Lexicon Learning
• Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet
• Accelerated carrier invoice factoring using predictive freight transport events
• UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
• Accurate Word Alignment Induction from Neural Machine Translation
• Machine Translation Evaluation with Neural Networks
• Glancing Future for Simultaneous Machine Translation
• On the difficulty of learning and predicting the long-term dynamics of bouncing objects
• A Survey of Classical And Quantum Sequence Models
• WSRNet: Joint Spotting and Recognition of Handwritten Words
• Semantics, Representations and Grammars for Deep Learning
• A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks
• Sarcasm Analysis using Conversation Context
• Chaos-based reinforcement learning with TD3
• Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation
• Bridging Text and Crystal Structures: Literature-driven Contrastive Learning for Materials Science
• On the Importance of Local Information in Transformer Based Models
• GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
• A Transformer-based Audio Captioning Model with Keyword Estimation
• Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way
• POSGen: Personalized Opening Sentence Generation for Online Insurance Sales
• A multiscale neural network based on hierarchical nested bases
• Hard Non-Monotonic Attention for Character-Level Transduction
• Real-Time Neural Network Scheduling of Emergency Medical Mask Production during COVID-19
• SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction
• Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
• Selective Knowledge Distillation for Neural Machine Translation
• Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
• Multi-Source Pointer Network for Product Title Summarization
• Simulating multi-exit evacuation using deep reinforcement learning
• Sequence-Level Training for Non-Autoregressive Neural Machine Translation
• Inductive Visual Localisation: Factorised Training for Superior Generalisation
• Learning Knowledge Graph-based World Models of Textual Environments
• Recurrent Stacking of Layers for Compact Neural Machine Translation Models
• Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
• Structure-Invariant Testing for Machine Translation
• I-BERT: Inductive Generalization of Transformer to Arbitrary Context Lengths
• Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
• Self-and-Mixed Attention Decoder with Deep Acoustic Structure for Transformer-based LVCSR
• Language Tags Matter for Zero-Shot Neural Machine Translation
• Human-like general language processing
• Face-Cap: Image Captioning using Facial Expression Analysis
• Stylized Story Generation with Style-Guided Planning
• Working Memory Graphs
• Text classification with pixel embedding
• Look and Modify: Modification Networks for Image Captioning
• Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
• Application of Seq2Seq Models on Code Correction
• Pseudo-Bidirectional Decoding for Local Sequence Transduction
• Database development and exploration of microstructure versus process relationships using variational autoencoders
• Attend to the beginning: A study on using bidirectional attention for extractive summarization
• AdvJND: Generating Adversarial Examples with Just Noticeable Difference
• Adaptive Embedding Gate for Attention-Based Scene Text Recognition
• "Wait, I'm Still Talking!" Predicting the Dialogue Interaction Behavior Using Imagine-Then-Arbitrate Model
• DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
• Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines
• Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking
• A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation
• Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning
• Generating Major Types of Chinese Classical Poetry in a Uniformed Framework
• Selective Attention Encoders by Syntactic Graph Convolutional Networks for Document Summarization
• Goal-Driven Sequential Data Abstraction
• Recovery Guarantees for Compressible Signals with Adversarial Noise
• A Multi-Turn Emotionally Engaging Dialog Model
• Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness
• Counterfactual Off-Policy Training for Neural Response Generation
• Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
• Stuck? No worries!: Task-aware Command Recommendation and Proactive Help for Analysts
• Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
• Robustness Guarantees for Deep Neural Networks on Videos
• Deep learning scheme for recovery of broadband microwave photonic receiving systems in transceivers without expert knowledge and system priors
• Deep Learning: Our Miraculous Year 1990-1991
• Classification Under Human Assistance
• Sequence Generation: From Both Sides to the Middle
• Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
• Learning Execution through Neural Code Fusion
• Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent Experts
• Multi-Turn Beam Search for Neural Dialogue Modeling
• Deep Knowledge Tracing with Learning Curves
• Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data
• HUMBO: Bridging Response Generation and Facial Expression Synthesis
• Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
• Global-aware Beam Search for Neural Abstractive Summarization
• PowerNet: Neural Power Demand Forecasting in Smart Grid
• Autonomous Learning of Features for Control: Experiments with Embodied and Situated Agents
• Neural Twins Talk
• Peak Alignment of Gas Chromatography-Mass Spectrometry Data with Deep Learning
• On the Definition of Japanese Word
• MEEP: An Open-Source Platform for Human-Human Dialog Collection and End-to-End Agent Training
• Transferable Natural Language Interface to Structured Queries aided by Adversarial Generation
• Depth Growing for Neural Machine Translation
• Efficient and Robust Machine Learning for Real-World Systems
• A Face-to-Face Neural Conversation Model
• Revisiting Modularized Multilingual NMT to Meet Industrial Demands
• Any-to-One Sequence-to-Sequence Voice Conversion using Self-Supervised Discrete Speech Representations
• Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases
• End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics
• A Hierarchical Neural Network for Sequence-to-Sequences Learning
• Context-aware Stand-alone Neural Spelling Correction
• Revisiting Robust Neural Machine Translation: A Transformer Case Study
• ReDecode Framework for Iterative Improvement in Paraphrase Generation
• A Neural Turing~Machine for Conditional Transition Graph Modeling
• Toward Improving Coherence and Diversity of Slogan Generation
• Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
• A Mixture of Expert Approach for Low-Cost Customization of Deep Neural Networks
• A Bi-Encoder LSTM Model For Learning Unstructured Dialogs
• Machine Translation between Vietnamese and English: an Empirical Study
• RECKONition: a NLP-based system for Industrial Accidents at Work Prevention
• SGG: Learning to Select, Guide, and Generate for Keyphrase Generation
• A neural network to classify metaphorical violence on cable news
• Image Captioning as Neural Machine Translation Task in SOCKEYE
• Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
• Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential
• Teaching a Massive Open Online Course on Natural Language Processing
• Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms
• Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs
• Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction
• Unsupervised Data Selection for Supervised Learning
• The Rule of Three: Abstractive Text Summarization in Three Bullet Points
• Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training
• Zoom-RNN: A Novel Method for Person Recognition Using Recurrent Neural Networks
• Semantic Sentence Embeddings for Paraphrasing and Text Summarization
• Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
• Bootstrapping Transliteration with Constrained Discovery for Low-Resource Languages
• Spinning Sequence-to-Sequence Models with Meta-Backdoors
• Style Transfer Through Multilingual and Feedback-Based Back-Translation
• Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task
• Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
• Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward
• Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification
• Analyzing Architectures for Neural Machine Translation Using Low Computational Resources
• LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task
• Handwriting styles: benchmarks and evaluation metrics
• Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description
• Learning the Dynamics of Sparsely Observed Interacting Systems
• Temporal Pattern Attention for Multivariate Time Series Forecasting
• An Overview on Generative AI at Scale with Edge-Cloud Computing
• Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction
• Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring
• torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP
• On Tree-Based Neural Sentence Modeling
• Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue
• WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse
• Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT
• SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation
• Neural paraphrasing by automatically crawled and aligned sentence pairs
• Lexicosyntactic Inference in Neural Models
• Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies
• Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences
• Self-attention Multi-view Representation Learning with Diversity-promoting Complementarity
• Adversarial Decomposition of Text Representation
• VANiLLa : Verbalized Answers in Natural Language at Large Scale
• Grammatical Error Correction as GAN-like Sequence Labeling
• On the benefits of maximum likelihood estimation for Regression and Forecasting
• Time Series Deinterleaving of DNS Traffic
• Language Embeddings for Typology and Cross-lingual Transfer Learning
• Improving Computer Generated Dialog with Auxiliary Loss Functions and Custom Evaluation Metrics
• Approximate Fixed-Points in Recurrent Neural Networks
• Optimizing a quantum reservoir computer for time series prediction
• Deep Learning: Hydrodynamics, and Lie-Poisson Hamilton-Jacobi Theory
• Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
• Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
• Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
• Deep Neural Networks Regularization for Structured Output Prediction
• Modeling Worlds in Text
• Improving Performance of Seen and Unseen Speech Style Transfer in End-to-end Neural TTS
• Maria: A Visual Experience Powered Conversational Agent
• Ask No More: Deciding when to guess in referential visual dialogue
• Towards Fully Interpretable Deep Neural Networks: Are We There Yet?
• Impersonation: Modeling Persona in Smart Responses to Email
• Symmetric Wasserstein Autoencoders
• byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
• A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
• Memory and attention in deep learning
• Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning
• On the Copying Behaviors of Pre-Training for Neural Machine Translation
• Towards Controlled and Diverse Generation of Article Comments
• A Joint and Domain-Adaptive Approach to Spoken Language Understanding
• Context-aware Cascade Attention-based RNN for Video Emotion Recognition
• Incorporating Reachability Knowledge into a Multi-Spatial Graph Convolution Based Seq2Seq Model for Traffic Forecasting
• A Dual-Decoder Conformer for Multilingual Speech Recognition
• Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval
• Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge
• KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction
• Graphine: A Dataset for Graph-aware Terminology Definition Generation
• Learning Neural Models for Natural Language Processing in the Face of Distributional Shift
• Learning Neural Templates for Recommender Dialogue System
• Unsupervised Learning of Sequence Representations by Autoencoders
• Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
• Object Counts! Bringing Explicit Detections Back into Image Captioning
• Semi-Autoregressive Image Captioning
• Achieving Fluency and Coherency in Task-oriented Dialog
• Deep Differential Recurrent Neural Networks
• Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation
• EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
• Detecting Logical Relation In Contract Clauses
• A Deep Learning Technique using Low Sampling rate for residential Non Intrusive Load Monitoring
• Predicting the Future with Transformational States
• Exploring the Naturalness of Buggy Code with Recurrent Neural Networks
• Disruption in the Chinese E-Commerce During COVID-19
• Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant
• MLAS: Metric Learning on Attributed Sequences
• BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention
• Connectionist Recommendation in the Wild: On the utility and scrutability of neural networks for personalized course guidance
• ReAssert: Deep Learning for Assert Generation
• Simultaneously forecasting global geomagnetic activity using Recurrent Networks
• A Non-linear Function-on-Function Model for Regression with Time Series Data
• Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
• Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
• BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling
• Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks
• Deep-Temporal LSTM for Daily Living Action Recognition
• CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++
• Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020
• Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli
• Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
• Investigating the Working of Text Classifiers
• Disentangling semantics in language through VAEs and a certain architectural choice
• Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis
• Towards Fully Automated Manga Translation
• NNStreamer: Efficient and Agile Development of On-Device AI Systems
• $k$-Neighbor Based Curriculum Sampling for Sequence Prediction
• KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding
• End-to-End Language Identification using Multi-Head Self-Attention and 1D Convolutional Neural Networks
• Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet
• Experiments with Rich Regime Training for Deep Learning
• Neural Code Summarization
• Handling Homographs in Neural Machine Translation
• Smoothing and Shrinking the Sparse Seq2Seq Search Space
• Self-supervised Regularization for Text Classification
• Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
• Privacy-aware VR streaming
• Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation
• Machine Translation with Unsupervised Length-Constraints
• Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
• SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework
• A Neural Attention Model for Categorizing Patient Safety Events
• How Chaotic Are Recurrent Neural Networks?
• Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks
• Bridging the Gap Between Training and Inference for Spatio-Temporal Forecasting
• Learning Various Length Dependence by Dual Recurrent Neural Networks
• A Variational View on Bootstrap Ensembles as Bayesian Inference
• Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder
• ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)
• Correction of Faulty Background Knowledge based on Condition Aware and Revise Transformer for Question Answering
• Joint Semantic Synthesis and Morphological Analysis of the Derived Word
• NaviGAN: A Generative Approach for Socially Compliant Navigation
• Sound2Sight: Generating Visual Dynamics from Sound and Context
• Fully Dynamic Inference with Deep Neural Networks
• A constrained recursion algorithm for batch normalization of tree-sturctured LSTM
• Nonsymbolic Text Representation
• Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
• Knowledge Efficient Deep Learning for Natural Language Processing
• Mixture of Speaker-type PLDAs for Children's Speech Diarization
• Central Yup'ik and Machine Translation of Low-Resource Polysynthetic Languages
• Characterization of Gravitational Waves Signals Using Neural Networks
• Modeling Human Reading with Neural Attention
• Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation
• A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting
• DialPort: Connecting the Spoken Dialog Research Community to Real User Data
• A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
• StyleDGPT: Stylized Response Generation with Pre-trained Language Models
• DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
• Semi-supervised Text Style Transfer: Cross Projection in Latent Space
• DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
• Additional Shared Decoder on Siamese Multi-view Encoders for Learning Acoustic Word Embeddings
• Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
• Towards Controllable and Personalized Review Generation
• Clinical Text Generation through Leveraging Medical Concept and Relations
• Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation
• An Interactive Machine Translation Framework for Modernizing Historical Documents
• Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
• Leveraging Visual Question Answering for Image-Caption Ranking
• An Empirical Study of Generation Order for Machine Translation
• Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
• Feedback Recurrent AutoEncoder
• Dynamic Graph Embedding via LSTM History Tracking
• Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings
• Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization
• Learning to Model Aspects of Hearing Perception Using Neural Loss Functions
• Deep Exemplar Networks for VQA and VQG
• Decoding of visual-related information from the human EEG using an end-to-end deep learning approach
• CounterExample Guided Neural Synthesis
• Explainable Deep RDFS Reasoner
• Balancing Cost and Benefit with Tied-Multi Transformers
• Building Memory with Concept Learning Capabilities from Large-scale Knowledge Base
• Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration
• High-performance Decoder for Convolutional Code with Deep Neural Network
• Dating Documents using Graph Convolution Networks
• Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification
• Benchmarking Approximate Inference Methods for Neural Structured Prediction
• Neural Multi-Source Morphological Reinflection
• Learning to Stop in Structured Prediction for Neural Machine Translation
• Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
• Neural Text Generation from Rich Semantic Representations
• Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications
• Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation
• Compositional pre-training for neural semantic parsing
• Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version
• A Semi-Supervised Approach for Low-Resourced Text Generation
• End-to-End Interpretation of the French Street Name Signs Dataset
• A Split-and-Recombine Approach for Follow-up Query Analysis
• Detection and Classification of Breast Cancer Metastates Based on U-Net
• Improving Context-aware Neural Machine Translation with Target-side Context
• Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character Level
• Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
• Structured Pruning of Recurrent Neural Networks through Neuron Selection
• Analysis of Convolutional Decoder for Image Caption Generation
• Self-Learning for Zero Shot Neural Machine Translation
• ParaQG: A System for Generating Questions and Answers from Paragraphs
• Competence-based Curriculum Learning for Multilingual Machine Translation
• Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems
• Deep Learning for Wireless Coded Caching with Unknown and Time-Variant Content Popularity
• Token-wise Curriculum Learning for Neural Machine Translation
• A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
• ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive Summarization
• Placement Delivery Array Design via Attention-Based Deep Neural Network
• Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism
• A Multiplexed Network for End-to-End, Multilingual OCR
• Unified Embedding and Metric Learning for Zero-Exemplar Event Detection
• PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction
• Highly Parallel Autoregressive Entity Linking with Discriminative Correction
• Overprotective Training Environments Fall Short at Testing Time: Let Models Contribute to Their Own Training
• Repairing Pronouns in Translation with BERT-Based Post-Editing
• Towards Making the Most of Dialogue Characteristics for Neural Chat Translation
• ConRPG: Paraphrase Generation using Contexts as Regularizer
• Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
• Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
• Recurrent multiple shared layers in Depth for Neural Machine Translation
• Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
• Sequential Routing Framework: Fully Capsule Network-based Speech Recognition
• A New Sentence Ordering Method Using BERT Pretrained Model
• SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension
• Scrambled Translation Problem: A Problem of Denoising UNMT
• Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
• Put Chatbot into Its Interlocutor's Shoes: New Framework to Learn Chatbot Responding with Intention
• Modeling Coverage for Non-Autoregressive Neural Machine Translation
• Math Operation Embeddings for Open-ended Solution Analysis and Feedback
• A new dataset and model for learning to understand navigational instructions
• Learning to Summarize Passages: Mining Passage-Summary Pairs from Wikipedia Revision Histories
• MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
• Learning in Gated Neural Networks
• What can Neural Referential Form Selectors Learn?
• FOX-NAS: Fast, On-device and Explainable Neural Architecture Search
• Deep Learning in Target Space
• Neural Twins Talk & Alternative Calculations
• Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification
• Neural Data-to-Text Generation with Dynamic Content Planning
• Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
• AriEL: volume coding for sentence generation
• Graph-based Filtering of Out-of-Vocabulary Words for Encoder-Decoder Models
• Can DNNs Learn to Lipread Full Sentences?
• STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction
• Application of Deep Interpolation Network for Clustering of Physiologic Time Series
• Deep Natural Language Processing for LinkedIn Search Systems
• Learn to Focus: Hierarchical Dynamic Copy Network for Dialogue State Tracking
• Modeling Bilingual Conversational Characteristics for Neural Chat Translation
• Atom Responding Machine for Dialog Generation
• Char-RNN for Word Stress Detection in East Slavic Languages
• Residual Tree Aggregation of Layers for Neural Machine Translation
• Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
• Importance-based Neuron Allocation for Multilingual Neural Machine Translation
• A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect
• Multi-Modal Association based Grouping for Form Structure Extraction
• Improving Truthfulness of Headline Generation
• Building A User-Centric and Content-Driven Socialbot
• Form2Seq : A Framework for Higher-Order Form Structure Extraction
• Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition
• A Topic Guided Pointer-Generator Model for Generating Natural Language Code Summaries
• Learning to Detect Unacceptable Machine Translations for Downstream Tasks
• Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
• Token Manipulation Generative Adversarial Network for Text Generation
• Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
• Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation
• Invertible Attention
• XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
• Learning by Planning: Language-Guided Global Image Editing
• ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction
• Acoustic-to-Word Models with Conversational Context Information
• Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
• Predicting Path Failure In Time-Evolving Graphs
• Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval
• Multilingual Neural Semantic Parsing for Low-Resourced Languages
• News Article Teaser Tweets and How to Generate Them
• Generating Titles for Web Tables
• Link Prediction for Temporally Consistent Networks
• Spatiotemporal Attacks for Embodied Agents
• Recurrent Models for Situation Recognition
• Towards User-Driven Neural Machine Translation
• Isometric Graph Neural Networks
• Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
• Iterative Edit-Based Unsupervised Sentence Simplification
• Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate
• MultiOpEd: A Corpus of Multi-Perspective News Editorials
• Text Recognition in Real Scenarios with a Few Labeled Samples
• OrderNet: Ordering by Example
• A Sequence-to-Sequence Model for Semantic Role Labeling
• Learning Source Phrase Representations for Neural Machine Translation
• PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack
• A Dataset and Baselines for Multilingual Reply Suggestion
• A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion
• Training Deep Neural Networks via Optimization Over Graphs
• Sequence to Logic with Copy and Cache
• An Edit-centric Approach for Wikipedia Article Quality Assessment
• Learning by stochastic serializations
• Semantic Representation for Dialogue Modeling
• Aortic Pressure Forecasting with Deep Sequence Learning
• An In-depth Walkthrough on Evolution of Neural Machine Translation
• Conditioned Time-Dilated Convolutions for Sound Event Detection
• Exploring Recombination for Efficient Decoding of Neural Machine Translation
• One2Set: Generating Diverse Keyphrases as a Set
• Dual Past and Future for Neural Machine Translation
• Automated Knee X-ray Report Generation
• Balancing Robustness and Sensitivity using Feature Contrastive Learning
• Primal Meaning Recommendation via On-line Encyclopedia
• Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory
• Testing Machine Translation via Referential Transparency
• Dual-CLVSA: a Novel Deep Learning Approach to Predict Financial Markets with Sentiment Measurements
• SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data
• Dyadic Human Motion Prediction
• An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation
• Universality of Gradient Descent Neural Network Training
• Here's My Point: Joint Pointer Architecture for Argument Mining
• DSNet: Dynamic Skin Deformation Prediction by Recurrent Neural Network
• Syntax Customized Video Captioning by Imitating Exemplar Sentences
• Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos
• Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model
• Multimodal Language Analysis with Recurrent Multistage Fusion
• Live Video Comment Generation Based on Surrounding Frames and Live Comments
• Linked Recurrent Neural Networks
• Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation
• epiGPTope: A machine learning-based epitope generator and classifier
• Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation
• An End-to-End Learning Approach for Trajectory Prediction in Pedestrian Zones
• Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection
• Affinity-aware Compression and Expansion Network for Human Parsing
• Towards Faster k-Nearest-Neighbor Machine Translation
• Improvement of a dedicated model for open domain persona-aware dialogue generation
• DVE: Dynamic Variational Embeddings with Applications in Recommender Systems
• Self-attention based end-to-end Hindi-English Neural Machine Translation
• Adversarial Generation and Encoding of Nested Texts
• All Word Embeddings from One Embedding
• Aging Memories Generate More Fluent Dialogue Responses with Memory Augmented Neural Networks
• Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning
• Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting
• In Defense of LSTMs for Addressing Multiple Instance Learning Problems
• Stochastic Dynamics for Video Infilling
• Massive Styles Transfer with Limited Labeled Data
• Bag-of-Vector Embeddings of Dependency Graphs for Semantic Induction
• A new approach to forecast service parts demand by integrating user preferences into multi-objective optimization
• Predicting protein secondary structure with Neural Machine Translation
• Urban Traffic Flow Forecast Based on FastGCRNN
• Future-Prediction-Based Model for Neural Machine Translation
• Input-to-Output Gate to Improve RNN Language Models
• Regularized Context Gates on Transformer for Machine Translation
• Learning Syntactic and Dynamic Selective Encoding for Document Summarization
• Partner Personas Generation for Diverse Dialogue Generation
• Focus-Constrained Attention Mechanism for CVAE-based Response Generation
• Neural Program Generation Modulo Static Analysis
• Code Representation Learning with Prüfer Sequences
• Using Deep Learning Sequence Models to Identify SARS-CoV-2 Divergence
• Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy
• Is artificial data useful for biomedical Natural Language Processing algorithms?
• Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation
• Logographic Subword Model for Neural Machine Translation
• Answer Generation for Questions With Multiple Information Sources in E-Commerce
• Incorporating Behavioral Hypotheses for Query Generation
• Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learning
• Speeding Up Neural Machine Translation Decoding by Cube Pruning
• Understanding the Dynamics of DNNs Using Graph Modularity
• Performance of Recommender Systems: Based on Content Navigator and Collaborative Filtering
• Learning to Generate Structured Queries from Natural Language with Indirect Supervision
• Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
• Machine translation considering context information using Encoder-Decoder model
• Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation
• Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding
• Machine Translation for Machines: the Sentiment Classification Use Case
• Learning to Generate Questions with Adaptive Copying Neural Networks
• Caption Generation of Robot Behaviors based on Unsupervised Learning of Action Segments
• How Sequence-to-Sequence Models Perceive Language Styles?
• Deep Co-investment Network Learning for Financial Assets
• Revisit Systematic Generalization via Meaningful Learning
• Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented Text
• Sequence-to-Sequence Learning with Latent Neural Grammars
• Complex Knowledge Base Question Answering: A Survey
• Deep Domain Adaptation under Deep Label Scarcity
• Irregular Convolutional Auto-Encoder on Point Clouds
• A Byte-sized Approach to Named Entity Recognition
• Modeling Target-side Inflection in Placeholder Translation
• Ouroboros: On Accelerating Training of Transformer-Based Language Models
• Decoupling Hierarchical Recurrent Neural Networks With Locally Computable Losses
• VATEX Captioning Challenge 2019: Multi-modal Information Fusion and Multi-stage Training Strategy for Video Captioning
• Multi-modal Dense Video Captioning
• Automatic Evaluation of Neural Personality-based Chatbots
• Towards Navigation by Reasoning over Spatial Configurations
• R2D2: Relational Text Decoding with Transformers
• Imperial College London Submission to VATEX Video Captioning Task
• Decoupling feature propagation from the design of graph auto-encoders
• Reference Network for Neural Machine Translation
• Knowledge-based Review Generation by Coherence Enhanced Text Planning
• A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty
• Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling
• Predictive Coding Networks Meet Action Recognition
• From Incremental Meaning to Semantic Unit (phrase by phrase)
• Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations
• Visuallly Grounded Generation of Entailments from Premises
• Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
• Big Bidirectional Insertion Representations for Documents
• Unsupervised Context Rewriting for Open Domain Conversation
• Speculative Beam Search for Simultaneous Translation
• Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business
• RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning
• A Robust Data-Driven Approach for Dialogue State Tracking of Unseen Slot Values
• Multi-Granularity Representations of Dialog
• Automatic Generation of Personalized Comment Based on User Profile
• Periodic Freight Demand Estimation for Large-scale Tactical Planning
• Machine Translation in Pronunciation Space
• Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents
• Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)
• Full-Sentence Models Perform Better in Simultaneous Translation Using the Information Enhanced Decoding Strategy
• A Sketch-Based System for Semantic Parsing
• Emotional speech synthesis with rich and granularized control
• Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification
• Discourse Embellishment Using a Deep Encoder-Decoder Network
• Table-to-Text Natural Language Generation with Unseen Schemas
• Language Model-Driven Unsupervised Neural Machine Translation
• Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior
• A Smart Sliding Chinese Pinyin Input Method Editor on Touchscreen
• Multi-Step Chord Sequence Prediction Based on Aggregated Multi-Scale Encoder-Decoder Network
• Byte-Pair Encoding for Text-to-SQL Generation
• Deep Minimax Probability Machine
• Doc2Dict: Information Extraction as Text Generation
• Scene-based Factored Attention for Image Captioning
• Middle-Out Decoding
• Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
• Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose
• The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
• Jejueo Datasets for Machine Translation and Speech Synthesis
• Sentence-Permuted Paragraph Generation
• Adaptive Degradation Process with Deep Learning-Driven Trajectory
• Text Simplification by Tagging
• Roosterize: Suggesting Lemma Names for Coq Verification Projects Using Deep Learning
• To Understand Representation of Layer-aware Sequence Encoders as Multi-order-graph
• Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications
• Data-to-text Generation by Splicing Together Nearest Neighbors
• Quantum Reasoning using Lie Algebra for Everyday Life (and AI perhaps...)
• Pairwise Neural Machine Translation Evaluation
• Semi-supervised estimation of event temporal length for cell event detection
• Incorporating Relevant Knowledge in Context Modeling and Response Generation
• Generating summaries tailored to target characteristics
• Data Ordering Patterns for Neural Machine Translation: An Empirical Study
• Neural network based limiter with transfer learning
• Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
• Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile
• Leveraging Order-Free Tag Relations for Context-Aware Recommendation
• Seq2Seq Mimic Games: A Signaling Perspective
• Fully Synthetic Data Improves Neural Machine Translation with Knowledge Distillation
• Bi-Decoder Augmented Network for Neural Machine Translation
• Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
• Learning to Skip Ineffectual Recurrent Computations in LSTMs
• Modeling Multi-Action Policy for Task-Oriented Dialogues
• Automating App Review Response Generation
• Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition
• A Benchmark Corpus and Neural Approach for Sanskrit Derivative Nouns Analysis
• Cross Copy Network for Dialogue Generation
• Image Captioning with Visual Object Representations Grounded in the Textual Modality
• Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
• Modelling Identity Rules with Neural Networks
• Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble
• Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
• Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
• Generating Diverse Translation from Model Distribution with Dropout
• Error-Correcting Neural Sequence Prediction
• A Discriminative Neural Model for Cross-Lingual Word Alignment
• Graph Deep Factors for Forecasting
• CLARA: Clinical Report Auto-completion
• Controllable Multi-Character Psychology-Oriented Story Generation
• Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
• Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics
• Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
• Q-learning with Language Model for Edit-based Unsupervised Summarization
• Dual-modality seq2seq network for audio-visual event localization
• Converting the Point of View of Messages Spoken to Virtual Assistants
• A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation
• Autoregressive Knowledge Distillation through Imitation Learning
• A Multi-Modal Approach to Infer Image Affect
• Deep Learning in Ultrasound Elastography Imaging
• An Unsupervised Model with Attention Autoencoders for Question Retrieval
• Distributed Data Vending on Blockchain
• Translating Questions into Answers using DBPedia n-triples
• Chess2vec: Learning Vector Representations for Chess
• Examining the causal structures of deep neural networks using information theory
• Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
• Improving Prosody Modelling with Cross-Utterance BERT Embeddings for End-to-end Speech Synthesis
• Developing neural machine translation models for Hungarian-English
• Towards Controlled Transformation of Sentiment in Sentences
• BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation
• Multivariate Temporal Autoencoder for Predictive Reconstruction of Deep Sequences
• Dialogue Inspectional Summarization with Factual Inconsistency Awareness
• Incorporating a Local Translation Mechanism into Non-autoregressive Translation
• Actions Generation from Captions
• Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks
• To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints
• DORB: Dynamically Optimizing Multiple Rewards with Bandits
• Master Thesis: Neural Sign Language Translation by Learning Tokenization
• The University of Sydney's Machine Translation System for WMT19
• Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization
• Medicines Question Answering System, MeQA
• Neural Network-Based Dynamic Threshold Detection for Non-Volatile Memories
• Automatic Documentation of ICD Codes with Far-Field Speech Recognition
• End-to-end Silent Speech Recognition with Acoustic Sensing
• Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
• Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
• Unsupervised Spoken Term Discovery on Untranscribed Speech
• Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences
• Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder
• A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction
• Reducing the impact of out of vocabulary words in the translation of natural language questions into SPARQL queries
• Delexicalized Paraphrase Generation
• Reciprocal Supervised Learning Improves Neural Machine Translation
• Data-Efficient Methods for Dialogue Systems
• The Role of Interpretable Patterns in Deep Learning for Morphology
• QuaSE: Accurate Text Style Transfer under Quantifiable Guidance
• Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications
• Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks
• Accelerating Genome Sequence Analysis via Efficient Hardware/Algorithm Co-Design
• k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
• ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness
• Research on All-content Text Recognition Method for Financial Ticket Image
• Understood in Translation, Transformers for Domain Understanding
• Empirical Analysis of Korean Public AI Hub Parallel Corpora and in-depth Analysis using LIWC
• Natural Adversarial Sentence Generation with Gradient-based Perturbation
• STIL -- Simultaneous Slot Filling, Translation, Intent Classification, and Language Identification: Initial Results using mBART on MultiATIS++
• Learning to Decipher Hate Symbols
• Adaptive Recurrent Neural Network Based on Mixture Layer
• Cluster-and-Conquer: A Framework For Time-Series Forecasting
• From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering
• Transferable Graph Optimizers for ML Compilers
• Block-term Tensor Neural Networks
• Generating Multilingual Parallel Corpus Using Subtitles
• Predicting future astronomical events using deep learning
• An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection
• Adaptive Bridge between Training and Inference for Dialogue
• CNN with large memory layers
• Deep Learning for Latent Events Forecasting in Twitter Aided Caching Networks
• CoRGi: Content-Rich Graph Neural Networks with Attention
• DICE: Deep Significance Clustering for Outcome-Aware Stratification
• Learning Representations from Road Network for End-to-End Urban Growth Simulation
• Explaining the Attention Mechanism of End-to-End Speech Recognition Using Decision Trees
• Corpora Generation for Grammatical Error Correction
• CUED_speech at TREC 2020 Podcast Summarisation Track
• Adversarial Machine Learning in Text Analysis and Generation
• Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography
• Learning Hard Retrieval Decoder Attention for Transformers
• Pchatbot: A Large-Scale Dataset for Personalized Chatbot
• Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages
• Few-Shot Semantic Parsing for New Predicates
• Learning to Organize Knowledge and Answer Questions with N-Gram Machines
• Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning
• Nana-HDR: A Non-attentive Non-autoregressive Hybrid Model for TTS
• Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
• Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning
• AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting
• Learning Time-Sensitive Strategies in Space Fortress
• Document-level Neural Machine Translation with Associated Memory Network
• Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
• Towards conceptual generalization in the embedding space
• Two Demonstrations of the Machine Translation Applications to Historical Documents
• CodeQA: A Question Answering Dataset for Source Code Comprehension
• Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
• A Three Step Training Approach with Data Augmentation for Morphological Inflection
• Robust Retrieval Augmented Generation for Zero-shot Slot Filling
• Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation
• Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification
• Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy
• Introducing the Hidden Neural Markov Chain framework
• Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading
• Learning Composable Behavior Embeddings for Long-horizon Visual Navigation
• Understanding and Enhancing the Use of Context for Machine Translation
• A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search
• SummerTime: Text Summarization Toolkit for Non-experts
• Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
• Joint Intent Detection And Slot Filling Based on Continual Learning Model
• AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
• HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
• Nonparametric Learning of Two-Layer ReLU Residual Units
• The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network
• Self-Checking Deep Neural Networks in Deployment