NIPS 2016 Tutorial: Generative Adversarial Networks

Abstract

This report summarizes the tutorial presented by the author at NIPS 2016 on generative adversarial networks (GANs). The tutorial describes: (1) Why generative modeling is a topic worth studying, (2) how generative models work, and how GANs compare to other generative models, (3) the details of how GANs work, (4) research frontiers in GANs, and (5) state-of-the-art image models that combine GANs with other methods. Finally, the tutorial contains three exercises for readers to complete, and the solutions to these exercises.

v2-v4 are all typo fixes. No substantive changes relative to v1

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• Explaining and Harnessing Adversarial Examples
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• NICE: Non-linear Independent Components Estimation
• The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
• Generative Moment Matching Networks
• A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
• Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
• Learning to Protect Communications with Adversarial Neural Cryptography
• Connecting Generative Adversarial Networks and Actor-Critic Methods
• On distinguishability criteria for estimating generative models
• Deep Visual Foresight for Planning Robot Motion

Cited by in corpus (331)

• Generative Adversarial Networks: An Overview
• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
• Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
• A trans-disciplinary review of deep learning research for water resources scientists
• Recent Advances in Open Set Recognition: A Survey
• Toward Multimodal Image-to-Image Translation
• Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
• BEGAN: Boundary Equilibrium Generative Adversarial Networks
• Reconstruction of three-dimensional porous media using generative adversarial neural networks
• NiftyNet: a deep-learning platform for medical imaging
• Generating Natural Adversarial Examples
• How Generative Adversarial Networks and Their Variants Work: An Overview
• Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
• MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
• Differentiable Learning of Quantum Circuit Born Machine
• Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy
• A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
• Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification
• Word Translation Without Parallel Data
• Flow-based Network Traffic Generation using Generative Adversarial Networks
• On Convergence and Stability of GANs
• On the Reconstruction of Face Images from Deep Face Templates
• Adversarial Examples: Attacks and Defenses for Deep Learning
• GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
• Stochastic Adversarial Video Prediction
• Few-Shot Adversarial Domain Adaptation
• Optimizing the Latent Space of Generative Networks
• Unsupervised Machine Translation Using Monolingual Corpora Only
• NetGAN: Generating Graphs via Random Walks
• Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
• Dynamical Variational Autoencoders: A Comprehensive Review
• Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
• Unsupervised Domain Adaptation through Self-Supervision
• A Variational Inequality Perspective on Generative Adversarial Networks
• An Introduction to Image Synthesis with Generative Adversarial Nets
• A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
• A Probabilistic U-Net for Segmentation of Ambiguous Images
• StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction
• Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
• Deep Learning in Mobile and Wireless Networking: A Survey
• At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence
• AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
• A Survey on ML4VIS: Applying Machine Learning Advances to Data Visualization
• Train Sparsely, Generate Densely: Memory-efficient Unsupervised Training of High-resolution Temporal GAN
• Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network
• A survey on GANs for computer vision: Recent research, analysis and taxonomy
• Boundary-Seeking Generative Adversarial Networks
• Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
• Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime
• Discovering state-parameter mappings in subsurface models using generative adversarial networks
• Learning and Inference on Generative Adversarial Quantum Circuits
• Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network
• On the Origin of Deep Learning
• Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis
• A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations
• Densely Connected Pyramid Dehazing Network
• Painting with baryons: augmenting N-body simulations with gas using deep generative models
• Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
• Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective
• A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
• Stochastic Variational Video Prediction
• A Deep Generative Model for Graph Layout
• Generalizing semi-supervised generative adversarial networks to regression using feature contrasting
• Controlling Physical Attributes in GAN-Accelerated Simulation of Electromagnetic Calorimeters
• Robust Imitation of Diverse Behaviors
• Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching
• Wasserstein Learning of Deep Generative Point Process Models
• ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
• Fast-GANFIT: Generative Adversarial Network for High Fidelity 3D Face Reconstruction
• Generative Adversarial Active Learning for Unsupervised Outlier Detection
• Machine Learning in NextG Networks via Generative Adversarial Networks
• Adversarial-Residual-Coarse-Graining: Applying machine learning theory to systematic molecular coarse-graining
• Deblending galaxy superpositions with branched generative adversarial networks
• Multi-Generator Generative Adversarial Nets
• Generative deep learning as a tool for inverse design of high-entropy refractory alloys
• It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
• Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
• AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
• Machine Learning for Physics-Informed Generation of Dispersed Multiphase Flow Using Generative Adversarial Networks
• Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
• Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving
• Activation Maximization Generative Adversarial Nets
• An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling
• Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning
• Convergence Problems with Generative Adversarial Networks (GANs)
• MAYONNAISE: a morphological components analysis pipeline for circumstellar disks and exoplanets imaging in the near infrared
• Lipschitz Generative Adversarial Nets
• Rethinking Monocular Depth Estimation with Adversarial Training
• Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images
• A Convex Duality Framework for GANs
• RockGPT: Reconstructing three-dimensional digital rocks from single two-dimensional slice from the perspective of video generation
• Novelty Detection with GAN
• Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
• New Trends in Quantum Machine Learning
• Face Super-Resolution Through Wasserstein GANs
• Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments
• Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
• Airline Passenger Name Record Generation using Generative Adversarial Networks
• FitVid: Overfitting in Pixel-Level Video Prediction
• Anomaly localization by modeling perceptual features
• Improved Training of Generative Adversarial Networks Using Representative Features
• Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning
• Neural Canonical Transformation with Symplectic Flows
• Generative Adversarial Networks for Data Generation in Structural Health Monitoring
• Continual Learning with Adaptive Weights (CLAW)
• Exposing Previously Undetectable Faults in Deep Neural Networks
• AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
• GANs May Have No Nash Equilibria
• Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis
• Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
• SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
• Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
• DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks
• Mode Collapse and Regularity of Optimal Transportation Maps
• Iterative energy-based projection on a normal data manifold for anomaly localization
• Viewmaker Networks: Learning Views for Unsupervised Representation Learning
• A survey of face recognition techniques under occlusion
• CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
• Adversarial Learning for Improved Onsets and Frames Music Transcription
• CoT: Cooperative Training for Generative Modeling of Discrete Data
• Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
• Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities
• Relaxed Wasserstein with Applications to GANs
• Labeled Graph Generative Adversarial Networks
• Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures
• HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
• Image-to-Image Translation: Methods and Applications
• Generative Latent Flow
• Transformation Autoregressive Networks
• Conditional Generative Neural System for Probabilistic Trajectory Prediction
• CariGAN: Caricature Generation through Weakly Paired Adversarial Learning
• PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
• Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics
• Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
• Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning
• Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps
• Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
• CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
• Efficient GAN-based method for cyber-intrusion detection
• The Six Fronts of the Generative Adversarial Networks
• Revisiting Stochastic Extragradient
• Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models
• Approximate Query Processing using Deep Generative Models
• Puzzle-AE: Novelty Detection in Images through Solving Puzzles
• An Online Learning Approach to Generative Adversarial Networks
• Exploring Bias in GAN-based Data Augmentation for Small Samples
• Procedural content generation of puzzle games using conditional generative adversarial networks
• Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder
• Study of Deep Generative Models for Inorganic Chemical Compositions
• Unsupervised anomaly localization using VAE and beta-VAE
• Statistical guarantees for generative models without domination
• A game-theoretic approach for Generative Adversarial Networks
• Quantitatively Evaluating GANs With Divergences Proposed for Training
• Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
• Pulsar Candidate Identification with Artificial Intelligence Techniques
• Near-Term Quantum-Classical Associative Adversarial Networks
• Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
• Jointly Measuring Diversity and Quality in Text Generation Models
• Early-Phase Performance-Driven Design using Generative Models
• Key Protected Classification for Collaborative Learning
• Variational f-divergence Minimization
• Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks
• A Marauder's Map of Security and Privacy in Machine Learning
• Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training
• Connecting Touch and Vision via Cross-Modal Prediction
• Synthetic Data -- Anonymisation Groundhog Day
• Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities
• Adversarial Approximate Inference for Speech to Electroglottograph Conversion
• Adaptive Generation of Unrestricted Adversarial Inputs
• An Improved Self-supervised GAN via Adversarial Training
• Some Theoretical Properties of GANs
• Multi-Mapping Image-to-Image Translation with Central Biasing Normalization
• Metropolis-Hastings view on variational inference and adversarial training
• Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
• Multimodal Sensor Fusion In Single Thermal image Super-Resolution
• ACtuAL: Actor-Critic Under Adversarial Learning
• Geometric Entropic Exploration
• Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets
• Dynamics of Fourier Modes in Torus Generative Adversarial Networks
• Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
• Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
• Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors
• Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data
• $(f,\Gamma )$-Divergences: Interpolating between $f$-Divergences and Integral Probability Metrics
• DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
• Two-stage generative adversarial networks for document image binarization with color noise and background removal
• Understanding and Stabilizing GANs' Training Dynamics with Control Theory
• Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization
• Learning Social Navigation from Demonstrations with Conditional Neural Processes
• Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks
• Virtual Underwater Datasets for Autonomous Inspections
• GANs beyond divergence minimization
• On Attribution of Deepfakes
• Decoupled Learning for Conditional Adversarial Networks
• MTS-CycleGAN: An Adversarial-based Deep Mapping Learning Network for Multivariate Time Series Domain Adaptation Applied to the Ironmaking Industry
• BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning
• Conditional Adversarial Generative Flow for Controllable Image Synthesis
• Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data
• On the Diversity of Realistic Image Synthesis
• CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
• End-to-End Conditional GAN-based Architectures for Image Colourisation
• Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
• A Very Brief Introduction to Machine Learning With Applications to Communication Systems
• Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study
• Can GAN Learn Topological Features of a Graph?
• Adversarial Regression. Generative Adversarial Networks for Non-Linear Regression: Theory and Assessment
• Predicting Opioid Relapse Using Social Media Data
• Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
• Towards Recovery of Conditional Vectors from Conditional Generative Adversarial Networks
• MMGAN: Manifold Matching Generative Adversarial Network
• Measuring Fairness in Generative Models
• Lotka-Volterra Model with Mutations and Generative Adversarial Networks
• Generative Adversarial Forests for Better Conditioned Adversarial Learning
• A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
• Learning Implicit Generative Models by Teaching Explicit Ones
• AXNet: ApproXimate computing using an end-to-end trainable neural network
• Correcting differences in multi-site neuroimaging data using Generative Adversarial Networks
• Taming GANs with Lookahead-Minmax
• Spurious samples in deep generative models: bug or feature?
• Active Learning Under Malicious Mislabeling and Poisoning Attacks
• Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
• Generating Continuous Representations of Medical Texts
• Markpainting: Adversarial Machine Learning meets Inpainting
• Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval
• Level generation and style enhancement -- deep learning for game development overview
• On Computation and Generalization of GANs with Spectrum Control
• Damage GAN: A Generative Model for Imbalanced Data
• Learning Class Unique Features in Fine-Grained Visual Classification
• Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
• Towards an Understanding of Neural Networks in Natural-Image Spaces
• Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
• Automatic Detection of Vague Words and Sentences in Privacy Policies
• Decomposed Adversarial Learned Inference
• Diverse Image Generation via Self-Conditioned GANs
• Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System
• Distilling the Knowledge from Conditional Normalizing Flows
• Stable Distribution Alignment Using the Dual of the Adversarial Distance
• A Novel Framework for Selection of GANs for an Application
• Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
• AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning
• Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)
• Is It a Plausible Colour? UCapsNet for Image Colourisation
• Generative Adversarial Data Programming
• Lightweight machine unlearning in neural network
• Lessons Learned from the Training of GANs on Artificial Datasets
• Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries
• TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
• Robust GANs against Dishonest Adversaries
• Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy Patients
• Hierarchical Model for Long-term Video Prediction
• ET-GAN: Cross-Language Emotion Transfer Based on Cycle-Consistent Generative Adversarial Networks
• Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis
• Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing
• Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds
• Efficient Super Resolution For Large-Scale Images Using Attentional GAN
• Learning the Loss Functions in a Discriminative Space for Video Restoration
• Typeface Completion with Generative Adversarial Networks
• Adversarial Numerical Analysis for Inverse Problems
• Semi-Implicit Generative Model
• Semi-supervised Semantic Segmentation of Prostate and Organs-at-Risk on 3D Pelvic CT Images
• Continuous Facial Motion Deblurring
• GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model
• Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit
• Student's t-Generative Adversarial Networks
• Tessellated Wasserstein Auto-Encoders
• A Novel Data Encryption Method Inspired by Adversarial Attacks
• Convex Smoothed Autoencoder-Optimal Transport model
• Detecting Bias in Transfer Learning Approaches for Text Classification
• Uncertainty-aware Generalized Adaptive CycleGAN
• PortraitGAN for Flexible Portrait Manipulation
• Using General Adversarial Networks for Marketing: A Case Study of Airbnb
• Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching
• Online Kernel based Generative Adversarial Networks
• Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games
• Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation
• Generative networks as inverse problems with fractional wavelet scattering networks
• Game of GANs: Game-Theoretical Models for Generative Adversarial Networks
• PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
• Progressive VAE Training on Highly Sparse and Imbalanced Data
• Mosaic: A Sample-Based Database System for Open World Query Processing
• AE-OT-GAN: Training GANs from data specific latent distribution
• Easy High-Dimensional Likelihood-Free Inference
• Restricting Greed in Training of Generative Adversarial Network
• Domain Partitioning Network
• Deep Multi-class Adversarial Specularity Removal
• Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video
• Capturing the diversity of biological tuning curves using generative adversarial networks
• Implicit Manifold Learning on Generative Adversarial Networks
• Generation and Simulation of Yeast Microscopy Imagery with Deep Learning
• The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line
• Selective Sampling and Mixture Models in Generative Adversarial Networks
• DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems
• Generating new pictures in complex datasets with a simple neural network
• Functional neural network for decision processing, a racing network of programmable neurons with fuzzy logic where the target operating model relies on the network itself
• Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
• AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework
• Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning
• Parallelized Reverse Curriculum Generation
• Can NetGAN be improved on short random walks?
• Quantization-Based Regularization for Autoencoders
• Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition
• Unsupervised Cross-Lingual Speech Emotion Recognition Using Pseudo Multilabel
• Reparameterized Sampling for Generative Adversarial Networks
• Micro-CT Synthesis and Inner Ear Super Resolution via Generative Adversarial Networks and Bayesian Inference
• Convolutional Normalizing Flows for Deep Gaussian Processes
• Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning
• Learning by Planning: Language-Guided Global Image Editing
• Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation
• Virtual Conditional Generative Adversarial Networks
• A Wasserstein Minimax Framework for Mixed Linear Regression
• Diagnosing the Impact of AI on Radiology in China
• Hierarchical Modes Exploring in Generative Adversarial Networks
• Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification
• Strongly-Typed Agents are Guaranteed to Interact Safely
• Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training
• Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training
• Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
• Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition
• WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
• Transductive Zero-Shot Learning by Decoupled Feature Generation
• Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation
• When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
• An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth
• Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation
• KL Guided Domain Adaptation
• Context-aware Human Intent Inference for Improving Human Machine Cooperation
• Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks
• HumanGAN: generative adversarial network with human-based discriminator and its evaluation in speech perception modeling
• Dist-GAN: An Improved GAN using Distance Constraints
• HumanACGAN: conditional generative adversarial network with human-based auxiliary classifier and its evaluation in phoneme perception
• Scenario generation for market risk models using generative neural networks