903 citations · 2.5k across the 78 of their papers we have counts for
13 papers · 1 filter
Enhancing Sindhi Word Segmentation using Subword Representation Learning and Position-aware Self-attention
Wazir Ali, Jay Kumar, Saifullah Tumrani +3
Sindhi word segmentation is a challenging task due to space omission and insertion issues. The Sindhi language itself adds to this complexity. It's cursive and consists of characte…
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning
Wenchao Gu, Zongjie Li, Cuiyun Gao +4
Code retrieval is a common practice for programmers to reuse existing code snippets in open-source repositories. Given a user query (i.e., a natural language description), code ret…
Block-term Tensor Neural Networks
Jinmian Ye, Guangxi Li, Di Chen +3
Deep neural networks (DNNs) have achieved outstanding performance in a wide range of applications, e.g., image classification, natural language processing, etc. Despite the good pe…
Heuristic Rank Selection with Progressively Searching Tensor Ring Network
Nannan Li, Yu Pan, Yaran Chen +3
Recently, Tensor Ring Networks (TRNs) have been applied in deep networks, achieving remarkable successes in compression ratio and accuracy. Although highly related to the performan…
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang, Chong Peng, Qiang Cheng +4
Graphs have become increasingly popular in modeling structures and interactions in a wide variety of problems during the last decade. Graph-based clustering and semi-supervised cla…
Deep Embedded Multi-view Clustering with Collaborative Training
Jie Xu, Yazhou Ren, Guofeng Li +3
Multi-view clustering has attracted increasing attentions recently by utilizing information from multiple views. However, existing multi-view clustering methods are either with hig…
Relation-Guided Representation Learning
Zhao Kang, Xiao Lu, Jian Liang +2
Deep auto-encoders (DAEs) have achieved great success in learning data representations via the powerful representability of neural networks. But most DAEs only focus on the most do…
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong +3
Automatic generation of high-quality commit messages for code commits can substantially facilitate software developers' works and coordination. However, the semantic gap between so…
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis
Yong Dai, Jian Liu, Xiancong Ren +1
Multi-source unsupervised domain adaptation (MS-UDA) for sentiment analysis (SA) aims to leverage useful information in multiple source domains to help do SA in an unlabeled target…
Mutual Information Gradient Estimation for Representation Learning
Liangjian Wen, Yiji Zhou, Lirong He +2
Mutual Information (MI) plays an important role in representation learning. However, MI is unfortunately intractable in continuous and high-dimensional settings. Recent advances es…
Angular Triplet Loss-based Camera Network for ReID
Yitian Li, Ruini Xue, Mengmeng Zhu +2
Person re-identification (ReID) is a challenging crosscamera retrieval task to identify pedestrians. Many complex network structures are proposed recently and many of them concentr…
Discrete Variational Attention Models for Language Generation
Xianghong Fang, Haoli Bai, Zenglin Xu +2
Variational autoencoders have been widely applied for natural language generation, however, there are two long-standing problems: information under-representation and posterior col…
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples
Lili Pan, Shijie Ai, Yazhou Ren +1
Deep discriminative models (e.g. deep regression forests, deep neural decision forests) have achieved remarkable success recently to solve problems such as facial age estimation an…