Papers
Gene Regulatory Network Inference as Relaxed Graph Matching
Deborah Weighill, Marouen Ben Guebila, Camila Lopes-Ramos et al.
Gene Regulatory Network Inference using 3D Convolutional Neural Network
Yue Fan, Xiuli Ma
GENSYNTH: Synthesizing Datalog Programs without Language Bias
Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman et al.
Geodesic-HOF: 3D Reconstruction Without Cutting Corners
Ziyun Wang, Eric A. Mitchell, Volkan Isler et al.
GIF Thumbnails: Attract More Clicks to Your Videos
Yi Xu, Fan Bai, Yingxuan Shi et al.
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum et al.
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan et al.
Global Fusion Attention for Vision and Language Understanding (Student Abstract)
Zixin Guo, Chen Liang, Ziyu Wan et al.
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle
Yu-Sian Jiang, Garrett Warnell, Peter Stone
GO Hessian for Expectation-Based Objectives
Yulai Cong, Miaoyun Zhao, Jianqiao Li et al.
Going Deeper With Directly-Trained Larger Spiking Neural Networks
Hanle Zheng, Yujie Wu, Lei Deng et al.
GoT: a Growing Tree Model for Clustering Ensemble
Feijiang Li, Yuhua Qian, Jieting Wang
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training
Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo et al.
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks
Charles A. Kantor, Léonard Boussioux, Brice Rauby et al.
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
Wei Tao, Wei Li, Zhisong Pan et al.
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
Shixiang Tang, Peng Su, Dapeng Chen et al.
GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates
Qifei Jia, Shikui Wei, Tao Ruan et al.
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
Yu Cheng, Bo Wang, Bo Yang et al.
Graph-Based Tri-Attention Network for Answer Ranking in CQA
Wei Zhang, Zeyuan Chen, Chao Dong et al.
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
Chao Huang, Jiahui Chen, Lianghao Xia et al.
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Shuai Lin, Pan Zhou, Xiaodan Liang et al.
Graph Game Embedding
Xiaobin Hong, Tong Zhang, Zhen Cui et al.
Graph Heterogeneous Multi-Relational Recommendation
Chong Chen, Weizhi Ma, Min Zhang et al.
Graph Learning for Inverse Landscape Genetics
Prathamesh Dharangutte, Christopher Musco
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Vikas Verma, Meng Qu, Kenji Kawaguchi et al.