Papers
8,340 papers found
Hyena Hierarchy: Towards Larger Convolutional Language Models
Michael Poli, Stefano Massaroli, Eric Nguyen et al.
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne et al.
Hyperbolic Image-text Representations
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit et al.
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang, Min Zhou, Rex Ying et al.
Hyperparameters in Reinforcement Learning and How To Tune Them
Theresa Eimer, Marius Lindauer, Roberta Raileanu
HyperTuning: Toward Adapting Large Language Models without Back-propagation
Jason Phang, Yi Mao, Pengcheng He et al.
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
Sam Daulton, Maximilian Balandat, Eytan Bakshy
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
Anass Aghbalou, Guillaume Staerman
I$^2$SB: Image-to-Image Schrödinger Bridge
Guan-Horng Liu, Arash Vahdat, De-An Huang et al.
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour
Identifiability of Label Noise Transition Matrix
Yang Liu, Hao Cheng, Kun Zhang
Identification of the Adversary from a Single Adversarial Example
Minhao Cheng, Rui Min, Haochen Sun et al.
Identifying Interpretable Subspaces in Image Representations
Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss et al.
Identifying Useful Learnwares for Heterogeneous Label Spaces
Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li et al.
ILLUME: Rationalizing Vision-Language Models through Human Interactions
Manuel Brack, Patrick Schramowski, Björn Deiseroth et al.
Image generation with shortest path diffusion
Ayan Das, Stathi Fotiadis, Anil Batra et al.
Image Restoration with Mean-Reverting Stochastic Differential Equations
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao et al.
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression
Zhuoran Liu, Zhengyu Zhao, Martha Larson
Implicit Graph Neural Networks: A Monotone Operator Viewpoint
Justin Baker, Qingsong Wang, Cory D Hauck et al.
Implicit Jacobian regularization weighted with impurity of probability output
Sungyoon Lee, Jinseong Park, Jaewook Lee
Implicit Neural Spatial Representations for Time-dependent PDEs
Honglin Chen, Rundi Wu, Eitan Grinspun et al.
Importance Weighted Expectation-Maximization for Protein Sequence Design
Zhenqiao Song, Lei Li
Improved Active Multi-Task Representation Learning via Lasso
Yiping Wang, Yifang Chen, Kevin Jamieson et al.
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
Wonyoung Kim, Garud Iyengar, Assaf Zeevi