Papers
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
Bob Junyi Zou, Matthew E Levine, Dessi P. Zaharieva et al.
Hybrid Inverse Reinforcement Learning
Juntao Ren, Gokul Swamy, Steven Wu et al.
Hybrid Neural Representations for Spherical Data
Hyomin Kim, Yunhui Jang, Jaeho Lee et al.
Hybrid Reinforcement Learning from Offline Observation Alone
Yuda Song, Drew Bagnell, Aarti Singh
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
Luca Franco, Paolo Mandica, Konstantinos Kallidromitis et al.
Hyperbolic Geometric Latent Diffusion Model for Graph Generation
Xingcheng Fu, Yisen Gao, Yuecen Wei et al.
Hyperbolic Optimizer as a Dynamical System
Nico Alvarado, Hans Lobel
HyperFields: Towards Zero-Shot Generation of NeRFs from Text
Sudarshan Babu, Richard Liu, Avery Zhou et al.
Hypergraph-enhanced Dual Semi-supervised Graph Classification
Wei Ju, Zhengyang Mao, Siyu Yi et al.
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
Linshan Hou, Ruili Feng, Zhongyun Hua et al.
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Mouxiang Chen, Chenghao Liu, Zemin Liu et al.
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
Zixiao Wang, Amiremad Ghassami, Ilya Shpitser
IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation
Kai Li, Runxuan Yang, Fuchun Sun et al.
ILILT: Implicit Learning of Inverse Lithography Technologies
Haoyu Yang, Haoxing Ren
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht et al.
Image Clustering with External Guidance
Yunfan Li, Peng Hu, Dezhong Peng et al.
Image Fusion via Vision-Language Model
Zixiang Zhao, Lilun Deng, Haowen Bai et al.
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Luke Bailey, Euan Ong, Stuart Russell et al.
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Conghan Yue, Zhengwei Peng, Junlong Ma et al.
Imitation Learning from Purified Demonstrations
Yunke Wang, Minjing Dong, Yukun Zhao et al.
Imitation Learning in Discounted Linear MDPs without exploration assumptions
Luca Viano, Stratis Skoulakis, Volkan Cevher
Impact of Decentralized Learning on Player Utilities in Stackelberg Games
Kate Donahue, Nicole Immorlica, Meena Jagadeesan et al.
Implicit Bias of AdamW: $\ell_∞$-Norm Constrained Optimization
Shuo Xie, Zhiyuan Li
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
Noam Razin, Yotam Alexander, Edo Cohen-Karlik et al.
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan, Melih Barsbey, Abdellatif Zaidi et al.