Papers
20,003 papers found
Grading Uncompilable Programs
Rohit Takhar, Varun Aggarwal
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab, Djordje Miladinovic, Walter Karlen
Graph Based Translation Memory for Neural Machine Translation
Mengzhou Xia, Guoping Huang, Lemao Liu et al.
Graph CNNs with Motif and Variable Temporal Block for Skeleton-Based Action Recognition
Yu-Hui Wen, Lin Gao, Hongbo Fu et al.
Graph Convolutional Networks for Text Classification
Liang Yao, Chengsheng Mao, Yuan Luo
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
Di Jin, Ziyang Liu, Weihao Li et al.
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints
Tobias Friedrich, Andreas Göbel, Frank Neumann et al.
GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
Hui Chen, Zijia Lin, Guiguang Ding et al.
Group Decision Diagram (GDD): A Compact Representation for Permutations
Takanori Maehara, Yuma Inoue
Group Fairness for the Allocation of Indivisible Goods
Vincent Conitzer, Rupert Freeman, Nisarg Shah et al.
Guided Dropout
Rohit Keshari, Richa Singh, Mayank Vatsa
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport
Guansong Lu, Zhiming Zhou, Yuxuan Song et al.
Hashtag Recommendation for Photo Sharing Services
Suwei Zhang, Yuan Yao, Feng Xu et al.
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
Liang Pang, Yanyan Lan, Jiafeng Guo et al.
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation
Liang Hu, Songlei Jian, Longbing Cao et al.
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
Yueyang Wang, Ziheng Duan, Binbing Liao et al.
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
Haoliang Li, Sinno Jialin Pan, Renjie Wan et al.
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction
Baokun He, Swair Shah, Crystal Maung et al.
Heuristic Voting as Ordinal Dominance Strategies
Omer Lev, Reshef Meir, Svetlana Obraztsova et al.
Hierarchical Attention Network for Image Captioning
Weixuan Wang, Zhihong Chen, Haifeng Hu
Hierarchical Attention Networks for Sentence Ordering
Tianming Wang, Xiaojun Wan
Hierarchical Classification Based on Label Distribution Learning
Changdong Xu, Xin Geng
Hierarchical Context Enabled Recurrent Neural Network for Recommendation
Kyungwoo Song, Mingi Ji, Sungrae Park et al.
Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG
Pramit Saha, Sidney Fels
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables
Tianyu Liu, Fuli Luo, Qiaolin Xia et al.