ICLR Papers
6,124 papers found • Page 96 of 123
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li, Alan Yuille, Zongwei Zhou
Human Feedback is not Gold Standard
Tom Hosking, Phil Blunsom, Max Bartolo
Human Motion Diffusion as a Generative Prior
Yonatan Shafir, Guy Tevet, Roy Kapon et al.
Hybrid Directional Graph Neural Network for Molecules
Junyi An, Chao Qu, Zhipeng Zhou et al.
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Bowen Shi, XIAOPENG ZHANG, Yaoming Wang et al.
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response
Junfeng Long, ZiRui Wang, Quanyi Li et al.
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang et al.
Hybrid Sharing for Multi-Label Image Classification
Zihao Yin, Chen Gan, Kelei He et al.
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
Sunwoo Kim, Shinhwan Kang, Fanchen Bu et al.
HyperAttention: Long-context Attention in Near-Linear Time
Insu Han, Rajesh Jayaram, Amin Karbasi et al.
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Changbin Li, Kangshuo Li, Yuzhe Ou et al.
Hypergraph Dynamic System
Jielong Yan, Yifan Feng, Shihui Ying et al.
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion
Xian Liu, Jian Ren, Aliaksandr Siarohin et al.
HYPO: Hyperspherical Out-Of-Distribution Generalization
Haoyue Bai, Yifei Ming, Julian Katz-Samuels et al.
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang, Eric Zelikman, Gabriel Poesia et al.
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs
Yuzhen Mao, Martin Ester, Ke Li
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang et al.
Idempotence and Perceptual Image Compression
Tongda Xu, Ziran Zhu, Dailan He et al.
Idempotent Generative Network
Assaf Shocher, Amil Dravid, Yossi Gandelsman et al.
Identifiable Latent Polynomial Causal Models through the Lens of Change
Yuhang Liu, Zhen Zhang, Dong Gong et al.
Identifying Policy Gradient Subspaces
Jan Schneider, Pierre Schumacher, Simon Guist et al.
Identifying Representations for Intervention Extrapolation
Sorawit (James) Saengkyongam, Elan Rosenfeld, Pradeep K Ravikumar et al.
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang et al.
iGraphMix: Input Graph Mixup Method for Node Classification
Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon et al.
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
Tim Franzmeyer, Stephen McAleer, Joao F. Henriques et al.
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
Yongchao Du, Min Wang, Wengang Zhou et al.
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
Image Clustering Conditioned on Text Criteria
Sehyun Kwon, Jaden Park, Minkyu Kim et al.
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu, Shengbang Tong, Tianjiao Ding et al.
Image Inpainting via Iteratively Decoupled Probabilistic Modeling
Wenbo Li, Xin Yu, Kun Zhou et al.
Image Inpainting via Tractable Steering of Diffusion Models
Anji Liu, Mathias Niepert, Guy Van den Broeck
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
William Yang, Byron Zhang, Olga Russakovsky
ImagenHub: Standardizing the evaluation of conditional image generation models
Max Ku, Tianle Li, Kai Zhang et al.
Image Translation as Diffusion Visual Programmers
Cheng Han, James Liang, Qifan Wang et al.
Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu, Weijun Dong, Yingdong Hu et al.
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
Wenhan Cao, Wei Pan
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
Zihan Wang, Arthur Jacot
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert Peach, Matteo Vinao-Carl, Nir Grossman et al.
Implicit Maximum a Posteriori Filtering via Adaptive Optimization
Gianluca Bencomo, Jake Snell, Thomas L. Griffiths
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou
Implicit Neural Representations and the Algebra of Complex Wavelets
T Mitchell Roddenberry, Vishwanath Saragadam, Maarten V de Hoop et al.
Implicit regularization of deep residual networks towards neural ODEs
Pierre Marion, Yu-Han Wu, Michael Sander et al.
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
Ilya Shenbin, Sergey Nikolenko
Improved Active Learning via Dependent Leverage Score Sampling
Atsushi Shimizu, Xiaoou Cheng, Christopher Musco et al.
Improved algorithm and bounds for successive projection
Jiashun Jin, Tracy Ke, Gabriel Moryoussef et al.
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Liyang Zhu, Meng Ding, Vaneet Aggarwal et al.
Improved baselines for vision-language pre-training
Jakob Verbeek, Enrico Fini, Michal Drozdzal et al.
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
Jiayang Liu, Yiming Bu, Daniel Tso et al.
Improved Probabilistic Image-Text Representations
Sanghyuk Chun
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
Jiechao GUAN, Hui Xiong