Papers
Generative Attention Networks for Multi-Agent Behavioral Modeling
Guangyu Li, Bo Jiang, Hao Zhu et al.
Generative Continual Concept Learning
Mohammad Rostami, Soheil Kolouri, Praveen Pilly et al.
Generative-Discriminative Complementary Learning
Yanwu Xu, Mingming Gong, Junxiang Chen et al.
Generative Exploration and Exploitation
Jiechuan Jiang, Zongqing Lu
Geometry-Constrained Car Recognition Using a 3D Perspective Network
Zeng Rui, Ge Zongyuan, Denman Simon et al.
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation
Yang Li, Kan Li, Shuai Jiang et al.
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Mingye Xu, Zhipeng Zhou, Yu Qiao
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
Anna Rogers, Olga Kovaleva, Matthew Downey et al.
Gifting in Multi-Agent Reinforcement Learning (Student Abstract)
Andrei Lupu, Doina Precup
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Zuyao Chen, Qianqian Xu, Runmin Cong et al.
Global Greedy Dependency Parsing
Zuchao Li, Hai Zhao, Kevin Parnow
GlobalTrack: A Simple and Strong Baseline for Long-Term Tracking
Lianghua Huang, Xin Zhao, Kaiqi Huang
GMAN: A Graph Multi-Attention Network for Traffic Prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang et al.
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
Yong Wang, Longyue Wang, Shuming Shi et al.
Going Deep: Graph Convolutional Ladder-Shape Networks
Ruiqi Hu, Shirui Pan, Guodong Long et al.
Google Research Football: A Novel Reinforcement Learning Environment
Karol Kurach, Anton Raichuk, Piotr Stańczyk et al.
GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response
M Arif Rahman, Sarah M. Preum, Ronald Williams et al.
Gradient-Aware Model-Based Policy Search
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni et al.
Gradient-Based Optimization for Bayesian Preference Elicitation
Ivan Vendrov, Tyler Lu, Qingqing Huang et al.
Gradient Boosts the Approximate Vanishing Ideal
Hiroshi Kera, Yoshihiko Hasegawa
Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
Wei Chen, Weizhong Zhang, Haoyu Zhao
Graduate Employment Prediction with Bias
Teng Guo, Feng Xia, Shihao Zhen et al.
GraLSP: Graph Neural Networks with Local Structural Patterns
Yilun Jin, Guojie Song, Chuan Shi
Grammar Filtering for Syntax-Guided Synthesis
Kairo Morton, William Hallahan, Elven Shum et al.
Graph Attention Based Proposal 3D ConvNets for Action Detection
Jin Li, Xianglong Liu, Zhuofan Zong et al.