ICLR

2022–2026 LIVE

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Machine Learning

2026 · 5,351 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。

2026 · ICLR
ReconViaGen: Towards Accurate Multi-view 3D Object Reconstruction via Generation
Jiahao Chang, Chongjie Ye, Yushuang Wu, Yuantao Chen, Yidan Zhang, Zhongjin Luo, Chenghong Li, Yihao Zhi, Xiaoguang Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reconciling Visual Perception and Generation in Diffusion Models
Liulei Li, Yi Yang, Wenguan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reconstruct Anything Model a lightweight general model for computational imaging
Matthieu Terris, Samuel Hurault, Maxime Song, Julián Tachella
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reconstructing KV Caches with Cross-Layer Fusion for Enhanced Transformers
Hongzhan Lin, Zhiqi Bai, Xinmiao Zhang, Siran Yang, Jiamang Wang, Yunlong Xu, JIAHENG LIU, Yongchi Zhao, Xiang Li, Yuchi Xu, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reconstruction Alignment Improves Unified Multimodal Models
Ji Xie, trevor darrell, Luke Zettlemoyer, Xudong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
Chenwei Wang, Zhaoke Huang, ZELIN LI, Wenqi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation
Xinhao Zhong, Shuoyang Sun, Xulin Gu, Chenyang Zhu, Bin Chen, Yaowei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rectifying LLM Thought from Lens of Optimization
Junnan Liu, Hongwei Liu, Songyang Zhang, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Recurrent Action Transformer with Memory
Egor Cherepanov, Aleksei Staroverov, Alexey Kovalev, Aleksandr Panov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
Chengquan Guo, Chulin Xie, Yu Yang, Zhaorun Chen, Zinan Lin, Xander Davies, Yarin Gal, Dawn Song, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RedSage: A Cybersecurity Generalist LLM
Naufal Suryanto, Muzammal Naseer, Pengfei Li, Syed Talal Wasim, Jinhui Yi, Juergen Gall, Paolo Ceravolo, Ernesto Damiani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments
Zeyi Liao, Jaylen Jones, Linxi Jiang, Yuting Ning, Eric Fosler-Lussier, Yu Su, ZHIQIANG LIN, Huan Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RedacBench: Can AI Erase Your Secrets?
Hyunjun Jeon, Kyuyoung Kim, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data
Stefan Schoepf, Michael Mozer, Nicole Mitchell, Alexandra Brintrup, Georgios Kaissis, Peter Kairouz, Eleni Triantafillou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents
Deyu Zou, Yongqiang Chen, Jianxiang Wang, Garry YANG, Mufei Li, Qing Da, James Cheng, Pan Li, Yu Gong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reducing Class-Wise Performance Disparity via Margin Regularization
Beier Zhu, Kesen Zhao, Jiequan Cui, Qianru Sun, Yuan Zhou, Xun Yang, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation
Maxime Bouscary, Jiawei Zhang, Saurabh Amin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reducing Semantic Mismatch in Brain-to-Text Decoding Through Personalized Multimodal Masking
Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reducing Symmetry Increase in Equivariant Neural Networks
Ning Lin, Jiacheng Cen, Anyi Li, Wenbing Huang, Hao Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reducing information dependency does not cause training data privacy. Adversarially non-robust features do.
Rasmus Torp, Shailen Smith, Adam Breuer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre M Bayen, Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
Hanzhuo Huang, Qingyang Bao, Zekai Gu, Zhongshuo Du, Cheng Lin, Yuan Liu, Sibei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning
Xiao Liu, Da Yin, Zirui Wu, Yansong Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reference Grounded Skill Discovery
Seungeun (Ross) Rho, Aaron Trinh, Danfei Xu, Sehoon Ha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reference-guided Policy Optimization for Molecular Optimization via LLM Reasoning
Xuan Li, (Andrew) Zhanke Zhou, Zongze Li, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
References Improve LLM Alignment in Non-Verifiable Domains
Kejian Shi, Yixin Liu, Peifeng Wang, Alexander Fabbri, Shafiq Joty, Arman Cohan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Referring Layer Decomposition
Fangyi Chen, Yaojie Shen, Lu Xu, Ye Yuan, Shu Zhang, Yulei Niu, Longyin Wen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Refine Drugs, Don’t Complete Them: Uniform-Source Discrete Flows for Fragment-Based Drug Discovery
Benno Kaech, Luis Wyss, Karsten Borgwardt, Gianvito Grasso
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Refine Now, Query Fast: A Decoupled Refinement Paradigm for Implicit Neural Fields
Tianyu Xiong, Skylar Wurster, Han Wei Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RefineBench: Evaluating Refinement Capability of Language Models via Checklists
Young-Jun Lee, Seungone Kim, Byung-Kwan Lee, Minkyeong Moon, Yechan Hwang, Jong Myoung Kim, Graham Neubig, Sean Welleck, Ho-Jin Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RefineStat: Efficient Exploration for Probabilistic Program Synthesis
Madhav Kanda, Shubham Dipak Ugare, Sasa Misailovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM
Rongjie Zhu, Cong Zhang, Zhiguang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping
Zhenyu Lei, Qiong Wu, JIANXIONG DONG, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reformulation for Pretraining Data Augmentation
Hao Xintong, Rui-Jie Zhu, Ge Zhang, Ke Shen, Chenggang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
Pengtao Chen, Xianfang Zeng, Maosen Zhao, Mingzhu Shen, Peng Ye, Bangyin Xiang, Zhibo Wang, Wei Cheng, Gang Yu, Tao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RegionReasoner: Region-Grounded Multi-Round Visual Reasoning
Wenfang Sun, Hao Chen, Yingjun Du, Yefeng Zheng, Cees G Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Regret-Guided Search Control for Efficient Learning in AlphaZero
Yun-Jui Tsai, Wei-Yu Chen, Yan-Ru Ju, Yu-Hung Chang, Ti-Rong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Regulating Internal Alignment Flows for Robust Learning Under Spurious Correlations
Rajeev Ranjan Dwivedi, Mohammedkaif Mohammedrafiq Kalagond, Niramay Patel, Vinod Kurmi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforced Latent Reasoning for LLM-based Recommendation
Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs
Honglin Zhang, Qianyue Hao, Fengli Xu, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcement Learning for Machine Learning Engineering Agents
Sherry Yang, Joy He-Yueya, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcement Learning via Value Gradient Flow
Haoran Xu, Kaiwen Hu, Somayeh Sojoudi, Amy Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Xumeng Wen, Zihan Liu, Shun Zheng, Shengyu Ye, Zhirong Wu, Yang Wang, Zhijian Xu, Xiao Liang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcement Mid-Training
Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcement Unlearning via Group Relative Policy Optimization
Efstratios Zaradoukas, Bardh Prenkaj, Gjergji Kasneci
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcing Diffusion Models by Direct Group Preference Optimization
Yihong Luo, Tianyang Hu, Jing Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reinforcing General Reasoning Without Verifiers
Xiangxin Zhou, Zichen Liu, Anya Sims, Haonan Wang, Tianyu Pang, Chongxuan Li, Liang Wang, Min Lin, Chao Du
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
Zhangchi Zhu, Wei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relational Feature Caching for Accelerating Diffusion Transformers
Byunggwan Son, Jeimin Jeon, Jeongwoo Choi, Bumsub Ham
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relational Graph Transformer
Vijay Prakash Dwivedi, Sri Jaladi, Yangyi Shen, Federico Lopez, Charilaos Kanatsoulis, Rishi Puri, Matthias Fey, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
Rishabh Ranjan, Valter Hudovernik, Mark Znidar, Charilaos Kanatsoulis, Roshan Upendra, Mahmoud Mohammadi, Joe Meyer, Tom Palczewski, Carlos Guestrin, Jure Leskovec
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relationship Alignment for View-aware Multi-view Clustering
Shuangmei Peng, Zhe Chen, Tianyang Xu, Xiaojun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relative Entropy Pathwise Policy Optimization
Claas Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Radu Grosu, ERIC EATON, Amir-massoud Farahmand, Igor Gilitschenski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relative Value Learning
Marc Höftmann, Jan Robine, Stefan Harmeling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Relatron: Automating Relational Machine Learning over Relational Databases
Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang song, Huzefa Rangwala
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization
Wen Huang, Jiarui Yang, Tao Dai, Jiawei Li, Shaoxiong Zhan, Bin Wang, Shu-Tao Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reliability-Adjusted Prioritized Experience Replay
Leonard S. Pleiss, Tobias Sutter, Maximilian Schiffer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reliable Evaluation of MRI Motion Correction: Dataset and Insights
Kun Wang, Tobit Klug, Stefan Ruschke, Jan Kirschke, Reinhard Heckel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reliable Fine-Grained Evaluation of Natural Language Math Proofs
Wenjie Ma, Andrei Cojocaru, Neel Kolhe, Haihan Zhang, Vincent Zhuang, Matei Zaharia, Sewon Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization
Mingda Zhang, Mingli Zhu, Zihao Zhu, Li Shen, Baoyuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reliable Probabilistic Forecasting of Irregular Time Series through Marginalization-Consistent Flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Christian Klötergens, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reliable Weak-to-Strong Monitoring of LLM Agents
Neil Kale, Chen Bo Calvin Zhang, Kevin Zhu, Ankit Aich, Paula Rodriguez, Christina Knight, Zifan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Remaining-data-free Machine Unlearning by Suppressing Sample Contribution
Xinwen Cheng, Zhehao Huang, Wenxing Zhou, Zhengbao He, Ruikai Yang, Yingwen Wu, Xiaolin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Remotely Detectable Robot Policy Watermarking
Michael Amir, Manon Flageat, Amanda Prorok
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RepIt: Steering Language Models with Concept-Specific Refusal Vectors
Vincent Siu, Nathan Henry, Nicholas Crispino, Yang Liu, Dawn Song, Chenguang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RepSpec: Structural Re-parameterized Draft Model Training for Speculative Decoding
FEIYE HUO, Jianchao Tan, Jiahao Liu, Zixu Jiang, Jiacheng Li, Jingang Wang, Xunliang Cai, Shengli Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Replicable Reinforcement Learning with Linear Function Approximation
ERIC EATON, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Sengupta, Jessica Sorrell
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Representation Alignment for Diffusion Transformers without External Components
Dengyang Jiang, Mengmeng Wang, Liuzhuozheng Li, Lei Zhang, Haoyu Wang, Wei Wei, Guang Dai, Yanning Zhang, Jingdong Wang
Machine Learning
日本大学: 東京大学
2026 · ICLR
Representation-Based Exploration for Language Models: From Test-Time to Post-Training
Jens Tuyls, Dylan Foster, Akshay Krishnamurthy, Jordan Ash
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Representational Alignment Across Model Layers and Brain Regions with Multi-Level Optimal Transport
Shaan Shah, Meenakshi Khosla
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Representing local protein environments with machine learning force fields
Meital Bojan, Sanketh Vedula, Sai Advaith Maddipatla, Nadav Bojan Sellam, Anar Rzayev, Federico Napoli, Paul Schanda, Alexander Bronstein
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Repurposing Foundation Model for Generalizable Medical Time Series Classification
Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Repurposing Synthetic Data for Fine-grained Search Agent Supervision
Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Ding-Chu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ResCP: Reservoir Conformal Prediction for Time Series Forecasting
Roberto Neglia, Andrea Cini, Michael Bronstein, Filippo Maria Bianchi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models
Zihan Lin, Xiaohan Wang, Jie Cao, Jiajun Chai, Guojun Yin, Wei Lin, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
Jinqing Zhang, Zehua Fu, zelinxu, wenying.dai, Qingjie Liu, Yunhong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi, Clinton Wang, Ankit Aich, Huy Nghiem, Tahseen Rabbani, Ye Htet, Brian Jang, Sumana Basu, Aishwarya Balwani, Denis Peskoff, Marcos Ayestaran, Sean Hendryx, Bradley Kenstler, Bing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reshaping Reasoning in LLMs: A Theoretical Analysis of RL Training Dynamics through Pattern Selection
Xingwu Chen, Tianle Li, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Residual Feature Integration is Sufficient to Prevent Negative Transfer
Yichen Xu, Ryumei Nakada, Linjun Zhang, Lexin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ResiliBench: Evaluating Agentic Workflow Adaptation in Stochastic Environments
Ruicheng Ao, Zeping Min, Tingyu Zhu, Wotao Yin, Xinshang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
Chenyu Lin, Yilin Wen, Du Su, Hexiang Tan, Fei Sun, Muhan Chen, Chenfu Bao, Zhonghou Lv
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis
Pengfei ZHANG, Tianxin Xie, Minghao Yang, Li Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration
Sudarshan Rajagopalan, Kartik Narayan, Vishal Patel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Resurfacing the Instance-only Dependent Label Noise Model through Loss Correction
Mustafa Enes Aydın, Maarten De Vos, Alexander Bertrand
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts
Zixuan Duan, Fengyuan Lu, Xunzhi Xiang, Wenbin Li, Yang Gao, Qi Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning
Yonghyeon Jo, Sunwoo Lee, Seungyul Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures
Sangyeon Yoon, Hyesoo Hong, Wonje Jeung, Albert No
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models
Yi Ding, Lijun Li, Bing Cao, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Causal Mask Attention for Vision-Language Inference
Xiaohuan Pei, Tao Huang, Yanxiang Ma, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Code Similarity for Automated Algorithm Design with LLMs
Rui Zhang, Zhichao Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Consistent Multi-Label Classification Under Inexact Supervision
Wei Wang, Tianhao Ma, Ming-Kun Xie, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICLR
Rethinking Continual Learning with Progressive Neural Collapse
Zheng Wang, Wanhao Yu, Li Yang, Sen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
Wanru Zhao, Yihong Chen, Yuzhi Tang, Wentao Ma, Shengchao Hu, Xu Hu, Alex Iacob, Abhinav Mehrotra, Nic Lane
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
Kai Zeng, Zhanqian Wu, Kaixin Xiong, Xiaobao Wei, Xiangyu Guo, Zhenxin Zhu, Kalok Ho, Lijun Zhou, Bohan Zeng, Ming Lu, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image Restoration
Bin Ren, Runyi Yang, Qi Ma, Xu Zheng, Mengyuan Liu, Danda Pani Paudel, Luc Van Gool, Rita Cucchiara, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Global Text Conditioning in Diffusion Transformers
Nikita Starodubcev, Daniil Pakhomov, Zongze Wu, Ilya Drobyshevskiy, Yuchen Liu, Zhonghao Wang, Yuqian Zhou, Zhe Lin, Dmitry Baranchuk
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen Teachers
Xianhang Li, Chen Huang, Chun-Liang Li, Eran Malach, Joshua Susskind, Vimal Thilak, Etai Littwin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?
Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）