Papers
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
Yixuan He, Quan Gan, David Wipf et al.
Goal Misgeneralization in Deep Reinforcement Learning
Lauro Langosco Di Langosco, Jack Koch, Lee D Sharkey et al.
Going Deeper into Permutation-Sensitive Graph Neural Networks
Zhongyu Huang, Yingheng Wang, Chaozhuo Li et al.
Gradient Based Clustering
Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic et al.
Gradient-Free Method for Heavily Constrained Nonconvex Optimization
Wanli Shi, Hongchang Gao, Bin Gu
Graph-Coupled Oscillator Networks
T. Konstantin Rusch, Ben Chamberlain, James Rowbottom et al.
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
Haiyang Yu, Limei Wang, Bokun Wang et al.
Graph Neural Architecture Search Under Distribution Shifts
Yijian Qin, Xin Wang, Ziwei Zhang et al.
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning
Lipeng Wan, Zeyang Liu, Xingyu Chen et al.
Greedy when Sure and Conservative when Uncertain about the Opponents
Haobo Fu, Ye Tian, Hongxiang Yu et al.
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Zhongkai Hao, Chengyang Ying, Yinpeng Dong et al.
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
Chris Dann, Yishay Mansour, Mehryar Mohri et al.
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance
Heeseung Kim, Sungwon Kim, Sungroh Yoon
Hardness and Algorithms for Robust and Sparse Optimization
Eric Price, Sandeep Silwal, Samson Zhou
H-Consistency Bounds for Surrogate Loss Minimizers
Pranjal Awasthi, Anqi Mao, Mehryar Mohri et al.
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning
Utku Evci, Vincent Dumoulin, Hugo Larochelle et al.
Hermite Polynomial Features for Private Data Generation
Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder et al.
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
Ruilin Li, Hongyuan Zha, Molei Tao
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen et al.
Hindering Adversarial Attacks with Implicit Neural Representations
Andrei A Rusu, Dan Andrei Calian, Sven Gowal et al.
History Compression via Language Models in Reinforcement Learning
Fabian Paischer, Thomas Adler, Vihang Patil et al.
HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li, Jianan Zhao, Chaozhuo Li et al.
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa, Boris Van Breugel, Evgeny S. Saveliev et al.