Papers
GREED: A Neural Framework for Learning Graph Distance Functions
Rishabh Ranjan, Siddharth Grover, Sourav Medya et al.
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang, Shan You, Mingkai Zheng et al.
GriddlyJS: A Web IDE for Reinforcement Learning
Christopher Bamford, Minqi Jiang, Mikayel Samvelyan et al.
Grounded Reinforcement Learning: Learning to Win the Game under Human Commands
Shusheng Xu, Huaijie Wang, YI WU
Grounded Video Situation Recognition
Zeeshan Khan, C.V. Jawahar, Makarand Tapaswi
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Minqi Jiang, Michael Dennis, Jack Parker-Holder et al.
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi, Arya Akhavan, John IF Falk et al.
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang, Jianwen Jiang, Yutong Feng et al.
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang, Yozen Liu, Neil Shah et al.
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks
Jinsung Jeon, JEONGHAK KIM, Haryong Song et al.
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun et al.
GULP: a prediction-based metric between representations
Enric Boix-Adsera, Hannah Lawrence, George Stepaniants et al.
Hamiltonian Latent Operators for content and motion disentanglement in image sequences
Asif Khan, Amos J. Storkey
Handcrafted Backdoors in Deep Neural Networks
Sanghyun Hong, Nicholas Carlini, Alexey Kurakin
HandMeThat: Human-Robot Communication in Physical and Social Environments
Yanming Wan, Jiayuan Mao, Josh Tenenbaum
Hand-Object Interaction Image Generation
Hezhen Hu, Weilun Wang, Wengang Zhou et al.
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu et al.
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues
Mazda Moayeri, Sahil Singla, Soheil Feizi
Hardness in Markov Decision Processes: Theory and Practice
Michelangelo Conserva, Paulo Rauber
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen, Aravind Gollakota, Adam Klivans et al.
Harmonizing the object recognition strategies of deep neural networks with humans
Thomas FEL, Ivan F Rodriguez Rodriguez, Drew Linsley et al.
Heatmap Distribution Matching for Human Pose Estimation
Haoxuan Qu, Li Xu, Yujun Cai et al.
Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya, Radu Marinescu
Heterogeneous Skill Learning for Multi-agent Tasks
Yuntao Liu, Yuan Li, Xinhai Xu et al.
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details
Yiqun Wang, Ivan Skorokhodov, Peter Wonka