ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

Machine Learning

2025 · 3,703 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2025 · ICLR
ReMatching Dynamic Reconstruction Flow
Sara Oblak, Despoina Paschalidou, Sanja Fidler, Matan Atzmon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Ziteng Wang, Jun Zhu, Jianfei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReSi: A Comprehensive Benchmark for Representational Similarity Measures
Max Klabunde, Tassilo Wald, Tobias Schumacher, Klaus Maier-Hein, Markus Strohmaier, Florian Lemmerich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin, Haoyu Wang, Hongyan Li, Jun Li, Jiahui Pan, Shenda Hong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Ready-to-React: Online Reaction Policy for Two-Character Interaction Generation
Zhi Cen, Huaijin Pi, Sida Peng, Qing Shuai, Yujun Shen, Hujun Bao, Xiaowei Zhou, Ruizhen Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Real-Time Video Generation with Pyramid Attention Broadcast
Xuanlei Zhao, Xiaolong Jin, Kai Wang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Real-time design of architectural structures with differentiable mechanics and neural networks
Rafael Pastrana, Eder Medina, Isabel M. de Oliveira, Sigrid Adriaenssens, Ryan P Adams
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Real2Code: Reconstruct Articulated Objects via Code Generation
Mandi Zhao, Yijia Weng, Dominik Bauer, Shuran Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Realistic Evaluation of Deep Partial-Label Learning Algorithms
Wei Wang, Dong-Dong Wu, Jindong Wang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2025 · ICLR
Reasoning Elicitation in Language Models via Counterfactual Feedback
Alihan Hüyük, Xinnuo Xu, Jacqueline Maasch, Aditya Nori, Javier Hernandez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reasoning with Latent Thoughts: On the Power of Looped Transformers
Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, Sashank J. Reddi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
Pengcheng Jiang, Cao (Danica) Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Muthu Chidambaram, Rong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RecDreamer: Consistent Text-to-3D Generation via Uniform Score Distillation
Chenxi Zheng, Yihong Lin, Bangzhen Liu, Xuemiao Xu, Yongwei Nie, Shengfeng He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RecFlow: An Industrial Full Flow Recommendation Dataset
Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S V, Mohammad Aflah Khan, Jaydeep Borkar, Christopher Choquette-Choo, Jacob Fuehne, Stella R Biderman, Tracy Ke, Katherine Lee, Naomi Saphra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data
Jiajie Li, Brian Quaranto, Chenhui Xu, Ishan Mishra, Ruiyang Qin, Dancheng Liu, Peter Kim, Jinjun Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reconciling Model Multiplicity for Downstream Decision Making
Ally Du, Dung Daniel Ngo, Steven Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency
Qifan Liang, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reconstructive Visual Instruction Tuning
Haochen Wang, Anlin Zheng, Yucheng Zhao, Tiancai Wang, Zheng Ge, Xiangyu Zhang, Zhaoxiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Recovering Manifold Structure Using Ollivier Ricci Curvature
Tristan L. Saidi, Abigail Hickok, Andrew J Blumberg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates
Xiuchuan Li, Jun Wang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang, Ling Yang, Zhaoyang Huang, Mengdi Wang, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Redefining the task of Bioactivity Prediction
Yanwen Huang, Bowen Gao, Yinjun JIA, Hongbo Ma, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering
Sheng Liu, Haotian Ye, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
Dhruv Gautam, Spandan Garg, Jinu Jang, Neel Sundaresan, Roshanak Zilouchian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment
Yizhi Song, Liu He, Zhifei Zhang, Soo Ye Kim, HE Zhang, Wei Xiong, Zhe Lin, Brian Price, Scott Cohen, Jianming Zhang, Daniel Aliaga
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
Congpei Qiu, Yanhao Wu, Wei Ke, Xiuxiu Bai, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reflective Gaussian Splatting
Yuxuan Yao, Zixuan Zeng, Chun Gu, Xiatian Zhu, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Jihyo Kim, Seulbi Lee, Sangheum Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs
Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Zhaolin Gao, Wenhao Zhan, Jonathan Chang, Gokul Swamy, Kianté Brantley, Jason Lee, Wen Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
Wenhao Xu, Xuefeng Gao, Xuedong He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
Michael Chen, A. Pavan, N. V. Vinodchandran, Ruosong Wang, Lin Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regretful Decisions under Label Noise
Sujay Nagaraj, Yang Liu, Flavio Calmon, Berk Ustun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regularization by Texts for Latent Diffusion Inverse Solvers
Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul YE
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regularizing Energy among Training Samples for Out-of-Distribution Generalization
Yiting Chen, Qitian Wu, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Regulatory DNA Sequence Design with Reinforcement Learning
Zhao Yang, Bing Su, Chuan Cao, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
Josiah Kratz, Jacob Adamczyk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
Zhaohui JIANG, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reinforcement learning with combinatorial actions for coupled restless bandits
Lily Xu, Bryan Wilder, Elias Khalil, Milind Tambe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
Maxwell Xu, Jaya Narain, Gregory Darnell, Haraldur Hallgrimsson, Hyewon Jeong, Darren Forde, Richard Fineman, Karthik Raghuram, James Rehg, Shirley Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong Jin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
Shihong Song, Guanlin Mo, Hu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Seungyeon Kim, Tal Schuster
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
Yuxuan Zhou, Xien Liu, Chen Ning, Xiao Zhang, Ji Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, HE Zhang, Yiwei Hu, Milos Hasan, William Freeman, Kai Zhang, Fujun Luan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Remove Symmetries to Control Model Expressivity and Improve Optimization
Liu Ziyin, Yizhou Xu, Isaac Chuang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Repetition Improves Language Model Embeddings
Jacob Springer, Suhas Kotha, Daniel Fried, Graham Neubig, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Representational Similarity via Interpretable Visual Concepts
Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Representative Guidance: Diffusion Model Sampling with Coherence
Anh-Dung Dinh, Daochang Liu, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Repulsive Latent Score Distillation for Solving Inverse Problems
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Michael Scholkemper, Xinyi Wu, Ali Jadbabaie, Michael Schaub
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Residual Deep Gaussian Processes on Manifolds
Kacper Wyrwal, Andreas Krause, Viacheslav (Slava) Borovitskiy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Residual Kernel Policy Network: Enhancing Stability and Robustness in RKHS-Based Reinforcement Learning
Yixian Zhang, Huaze Tang, Huijing Lin, Wenbo Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Residual Stream Analysis with Multi-Layer SAEs
Tim Lawson, Lucy Farnik, Conor Houghton, Laurence Aitchison
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Residual-MPPI: Online Policy Customization for Continuous Control
Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Resolution Attack: Exploiting Image Compression to Deceive Deep Neural Networks
Wangjia Yu, Xiaomeng Fu, Qiao Li, Jizhong Han, Xiaodan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Restructuring Vector Quantization with the Rotation Trick
Christopher Fifty, Ronald Junkins, Dennis Duan, Aniketh Iyengar, Jerry Liu, Ehsan Amid, Sebastian Thrun, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi, Alasdair Newson, Florence d'Alché-Buc
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models
Mazda Moayeri, Sriram Balasubramanian, Samyadeep Basu, Priyatham Kattakinda, Atoosa Chegini, Robert Brauneis, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
Zeliang Zhang, Susan Liang, Daiki Shimada, Chenliang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
Siyu Sun, Han Lu, Jiangtong Li, Yichen Xie, Tianjiao Li, Xiaokang Yang, Liqing Zhang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior
Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Gouki, Hiroki Furuta, Yusuke Iwasawa, Yutaka Matsuo
Machine Learning
日本大学: 東京大学
2025 · ICLR
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel Castro, Ben Glocker
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
Feng Ji, Yanan Zhao, KAI ZHAO, Hanyang Meng, Jielong Yang, Wee Peng Tay
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda, Ching-Chun Chang, Isao Echizen
Machine Learning
日本大学: 東京大学
2025 · ICLR
Rethinking Invariance in In-context Learning
Lizhe Fang, Yifei Wang, Khashayar Gatmiry, Lei Fang, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond
Qizhou Wang, Jin Zhou, (Andrew) Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
Ziwei Huang, Jianan Zhou, Zhiguang Cao, Yixin XU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Multiple-Instance Learning From Feature Space to Probability Space
Zhaolong Du, Shasha Mao, Xuequan Lu, Mengnan Qi, Yimeng Zhang, Jing Gu, Licheng Jiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
Jinbiao Chen, Zhiguang Cao, Jiahai Wang, Yaoxin Wu, Hanzhang Qin, Zizhen Zhang, Yue-Jiao Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
xueru wen, Jie Lou, Yaojie Lu, Hongyu Lin, XingYu, Xinyu Lu, Ben He, Xianpei Han, Debing Zhang, Le Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Reward Modeling in Preference-based Large Language Model Alignment
Hao Sun, Yunyi Shen, Jean-Francois Ton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels
Hyeonsu Jeong, Hye Won Chung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Shapley Value for Negative Interactions in Non-convex Games
Wonjoon Chang, Myeongjin Lee, Jaesik Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking Visual Counterfactual Explanations Through Region Constraint
Bartlomiej Sobieski, Jakub Grzywaczewski, Bartłomiej Sadlej, Matthew Tivnan, Przemyslaw Biecek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking the generalization of drug target affinity prediction algorithms via similarity aware evaluation
Chenbin Zhang, Zhiqiang Hu, Jiang Chuchu, Wen Chen, JIE XU, Shaoting Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rethinking the role of frames for SE(3)-invariant crystal structure modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kanta Ono
Machine Learning
日本大学: 大阪大学
2025 · ICLR
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Chunming He, Chengyu Fang, Yulun Zhang, Longxiang Tang, Jinfa Huang, Kai Li, zhenhua guo, Xiu Li, Sina Farsiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Retri3D: 3D Neural Graphics Representation Retrieval
Yushi Guan, Daniel Kwan, Jean Dandurand, Xi Yan, Ruofan Liang, Yuxuan Zhang, Nilesh Jain, Nilesh Ahuja, Selvakumar Panneer, Nandita Vijaykumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
Zichen Wang, Yaokun Ji, Jianing Tian, Shuangjia Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Retrieval Head Mechanistically Explains Long-Context Factuality
Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning
Chenglong Kang, Xiaoyi Liu, Fei Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Reveal Object in Lensless Photography via Region Gaze and Amplification
Xiangjun Yin, Huihui Yue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revealing and Mitigating Over-Attention in Knowledge Editing
Pinzheng Wang, Zecheng Tang, Keyan Zhou, Juntao Li, Qiaoming Zhu, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
Leander Girrbach, Stephan Alaniz, Yiran Huang, trevor darrell, Zeynep Akata
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
Brandon Zhao, Aviad Levis, Liam Connor, Pratul Srinivasan, Katherine Bouman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
Qiyuan Zhang, Yufei Wang, Tiezheng YU, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
Machine Learning
日本大学: 関与なし（対象大学）