Papers
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks
Jin Shang, Mingxuan Sun
Geometric Multi-Model Fitting by Deep Reinforcement Learning
Zongliang Zhang, Hongbin Zeng, Jonathan Li et al.
Geometry-Aware Face Completion and Editing
Linsen Song, Jie Cao, Lingxiao Song et al.
Get IT Scored Using AutoSAS — An Automated System for Scoring Short Answers
Yaman Kumar, Swati Aggarwal, Debanjan Mahata et al.
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti
Global Remote Operation of Intelligent Space Robot Assistants
Daniel Leidner, Peter Schmaus, Florian Schmidt et al.
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
Farhad Bin Siddique, Dario Bertero, Pascale Fung
Goal-Oriented Dialogue Policy Learning from Failures
Keting Lu, Shiqi Zhang, Xiaoping Chen
Gradient-Based Inference for Networks with Output Constraints
Jay Yoon Lee, Sanket Vaibhav Mehta, Michael Wick et al.
Gradient Harmonized Single-Stage Detector
Buyu Li, Yu Liu, Xiaogang Wang
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.