Papers
Graph Neural Networks with Adaptive Residual
Xiaorui Liu, Jiayuan Ding, Wei Jin et al.
Graph Neural Networks with Local Graph Parameters
Pablo Barceló, Floris Geerts, Juan Reutter et al.
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler, Bertrand Charpentier, Simon Geisler et al.
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
Dachao Lin, Haishan Ye, Zhihua Zhang
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
Kyra Gan, Su Jia, Andrew Li
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
Longyuan Li, Jian Yao, Li Wenliang et al.
Grounding inductive biases in natural images: invariance stems from variations in data
Diane Bouchacourt, Mark Ibrahim, Ari Morcos
Grounding Representation Similarity Through Statistical Testing
Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt
Grounding Spatio-Temporal Language with Transformers
Tristan Karch, Laetitia Teodorescu, Katja Hofmann et al.
Group Equivariant Subsampling
Jin Xu, Hyunjik Kim, Thomas Rainforth et al.
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot, Alexander Clegg, Eric Undersander et al.
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg, Aram Galstyan
Handling Long-tailed Feature Distribution in AdderNets
Minjing Dong, Yunhe Wang, Xinghao Chen et al.
Hard-Attention for Scalable Image Classification
Athanasios Papadopoulos, Pawel Korus, Nasir Memon
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee, Sewoong Lee, Song Chong et al.
Hash Layers For Large Sparse Models
Stephen Roller, Sainbayar Sukhbaatar, arthur szlam et al.
Heavy Ball Momentum for Conditional Gradient
Bingcong Li, Alireza Sadeghi, Georgios Giannakis
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia, Vai Suliafu, Hangjie Ji et al.
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey, Milad Sefidgaran, Murat A Erdogdu et al.
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao, Michael W. Mahoney
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Chengshuai Shi, Wei Xiong, Cong Shen et al.
Heuristic-Guided Reinforcement Learning
Ching-An Cheng, Andrey Kolobov, Adith Swaminathan
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
Bogdan-Adrian Manghiuc, He Sun
Hierarchical Reinforcement Learning with Timed Subgoals
Nico Gürtler, Dieter Büchler, Georg Martius
Hierarchical Skills for Efficient Exploration
Jonas Gehring, Gabriel Synnaeve, Andreas Krause et al.