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
Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations
Cong Jiang, Xiaofeng Zhang, Fangzhi Zhu, Xiaowei Chen, Junxiong Zhu, Zheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li, Yuelyu Ji, Yiming Zeng, ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao, Daqing He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity
Cristian Hinostroza, Rodrigo Toro Icarte, Christ Devia, Andres Carvallo, Eugenio Herrera-Berg, Denis Parra, Jorge Silva
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models
JIN LIU, Yinbin Miao, Ning Xi, Junkang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Model Calibration through Spectral Entropy Regularization in Medical Image Segmentation
Kun Cheng, Yukun Zhang, William Nailon, Tonggang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair Classification
Junyi Chai, Shenyu Lu, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
Naoki Shitanda, Motoki Omura, Tatsuya Harada, Takayuki Osa
Machine Learning
日本大学: 東京大学
2026 · ICLR
Rethinking Radiology Report Generation: From Narrative Flow to Topic-Guided Findings
Sheng Cheng, Devika Subramanian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short
Xuan Lu, Haohang Huang, Rui Meng, Yaohui Jin, Wenjun Zeng, Xiaoyu Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Residual Errors in Compensation-based LLM Quantization
Shuaiting Li, Juncan Deng, Kedong Xu, Rongtao Deng, Hong Gu, Minghan Jiang, Haibin Shen, Kejie Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure
Lukas Aichberger, Kajetan Schweighofer, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint
Runmin Zhang, Jialiang Wang, Si-Yuan Cao, Zhu Yu, Junchen Yu, Guangyi Zhang, Hui-liang Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?
Jialong Chen, Bowen Deng, Zibin Zheng, Chuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts
Ammar Ahmed, Azal Ahmad Khan, Ayaan Ahmad, Sheng Di, Zirui Liu, Ali Anwar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
Junwei Lan, Jianlyu Chen, Zheng Liu, Chaofan Li, Siqi Bao, Defu Lian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Retrospective Sparse Attention for Efficient Long-Context Generation
Seonghwan Choi, Beomseok Kang, Dongwon Jo, jae-joon kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reusing Pre-Training Data at Test Time is a Compute Multiplier
Alex Fang, Thomas Voice, Ruoming Pang, Ludwig Schmidt, Tom Gunter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revela: Dense Retriever Learning via Language Modeling
Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Sherry Wu, Iryna Gurevych, Heinz Koeppl
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand Functions
Daniele Bracale, Moulinath Banerjee, Yuekai Sun, Cong Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reverse Distillation: Consistently Scaling Protein Language Model Representations
Darius Catrina, Christian Bepler, Samuel Sledzieski, Rohit Singh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reverse-Engineered Reasoning for Open-Ended Generation
Haozhe Wang, Haoran Que, Qixin Xu, Minghao Liu, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Wei Ye, Tong Yang, Wenhao Huang, Ge Zhang, Fangzhen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reversible Primitive–Composition Alignment for Continual Vision–Language Learning
Canran Xiao, Tianxiang Xu, SiYuan Ma, Yiyang Jiang, Haoyu Gao, Yuhan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
Minh Le, Anh Nguyen, Huy Nguyen, Chau Nguyen, Anh T Tran, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Active Sequential Prediction-Powered Mean Estimation
Maria-Eleni Sfyraki, Jun-Kun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Confidence Calibration for Misclassification Detection in VLMs
Jincheng Huang, Jie Xu, Xiaoshuang Shi, Ping Hu, Lei Feng, Xiaofeng Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
Youssef Mroueh, Nicolas Dupuis, Brian Belgodere, Apoorva Nitsure, Mattia Rigotti, Kristjan Greenewald, Jiri Navratil, Jarret Ross, Jesus Rios
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Long-context Modeling from Context Denoising Perspective
Zecheng Tang, Ji Baibei, Juntao Li, Lijun Wu, Haijia Gui, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Matrix Sketching in Linear Bandits: Achieving Sublinear Regret via Dyadic Block Sketching
Dongxie Wen, Hanyan Yin, Xiao Zhang, Peng Zhao, Lijun Zhang, Zhewei Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Multimodal Positional Encoding in Vision–Language Models
Jie Huang, Xuejing Liu, Sibo Song, RuiBing Hou, Hong Chang, Junyang Lin, Shuai Bai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Nonstationary Kernel Design for Multi-Output Gaussian Processes
Qiaochu Xu, Zi Yang, Ying Li, Michael Minyi Zhang, Pablo Olmos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang, Chaoyi Ruan, Min Lin, Jialin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
Jianlong Chen, Zhiming Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
Viet-Hoang Tran, Thanh Q. Tran, Thanh Chu, Trung-Khang Tran, Duy-Tung Pham, Tam Le, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting Weight Regularization for Low-Rank Continual Learning
Yaoyue Zheng, Yin Zhang, Joost van de Weijer, Gido van de Ven, Shaoyi Du, Xuetao Zhang, Zhiqiang Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting [CLS] and Patch Token Interaction in Vision Transformers
Alexis Marouani, Oriane Siméoni, Herve Jegou, Piotr Bojanowski, Huy Vo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting the Past: Data Unlearning with Model State History
Keivan Rezaei, Mehrdad Saberi, Abhilasha Ravichander, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training
Jakub Krajewski, Amitis Shidani, Dan Busbridge, Sam Wiseman, Jason Ramapuram
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisting Node Affinity Prediction In Temporal Graphs
Or Feldman, Krishna Sri Ipsit Mantri, Moshe Eliasof, Chaim Baskin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revisual-R1: Advancing Multimodal Reasoning From Optimized Cold Start to Staged Reinforcement Learning
Shuang Chen, Hangyu Guo, Zhaochen Su, Yafu Li, Jiacheng Chen, Yulun Wu, Weijie Wang, ZhiYuan Feng, Xiaoye Qu, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
Yinjie Wang, Ling Yang, Bowen Li, Ye Tian, Ke Shen, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Kefan Song, Amir Moeini, Peng Wang, Lei Gong, Rohan Chandra, Shangtong Zhang, Yanjun Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reward Model Routing in Alignment
Xinle Wu, Yao Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Reward Models Inherit Value Biases from Pretraining
Brian Christian, Jessica Thompson, Elle Michelle Yang, Vincent Adam, Hannah Kirk, Christopher Summerfield, Tsvetomira Dumbalska
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RewardBench 2: Advancing Reward Model Evaluation
Saumya Malik, Valentina Pyatkin, Sander Land, Jacob Morrison, Noah Smith, Hanna Hajishirzi, Nathan Lambert
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
Sicheng Feng, Kaiwen TUO, Song Wang, Lingdong Kong, Jianke Zhu, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
David Bani-Harouni, Chantal Pellegrini, Paul Stangel, Ege Özsoy, Kamilia Zaripova, Nassir Navab, Matthias Keicher
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
Kazuki Fujii, Yukito Tajima, Sakae Mizuki, Masaki Kawamura, Hinari Shimada, Taihei Shiotani, Koshiro Saito, Masanari Oi, Taishi Nakamura, Okamoto, Shigeki Ishida, Kakeru Hattori, Youmi Ma, Hiroya Takamura, Rio Yokota, Jun Sakuma, Naoaki Okazaki
Machine Learning
日本大学: 東京科学大学
2026 · ICLR
Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning
Qing Jiang, Xingyu Chen, Zhaoyang Zeng, Junzhi Yu, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Riemannian Federated Learning via Averaging Gradient Streams
Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Riemannian High-Order Pooling for Brain Foundation Models
Chen Hu, Ziheng Chen, Rui Wang, Yefeng Zheng, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Riemannian Optimization on Relaxed Indicator Matrix Manifold
Jinghui Yuan, Xie Fangyuan, Feiping Nie, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Riemannian Variational Flow Matching for Material and Protein Design
Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Cong Liu, Max Welling, Jan-Willem van de Meent, Erik Bekkers
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds
Shaocong Ma, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Riesz Neural Operator for Solving Partial Differential Equations
Shouyi Liu, Xiaokang Yang, Yuntian Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles
Zhanghan Ni, Yanjing Li, Zeju Qiu, Bernhard Schölkopf, Hongyu Guo, Weiyang Liu, Shengchao Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity
Artavazd Maranjyan, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Risk Phase Transitions in Spiked Regression: Alignment Driven Benign and Catastrophic Overfitting
Jiping Li, Rishi Sonthalia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Risk-Sensitive Agent Compositions
Guruprerana Shabadi, Rajeev Alur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Risk-Sensitive Reinforcement Learning for Alleviating Exploration Dilemmas in Large Language Models
Yuhua Jiang, Jiawei Huang, Yufeng Yuan, Xin Mao, YuYue, Qianchuan Zhao, Lin Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RiskPO: Risk-based Policy Optimization with Verifiable Reward for LLM Post-Training
Tao Ren, Jinyang Jiang, Hui Yang, Wan Tian, Minhao Zou, Guanghao Li, Zishi Zhang, Qinghao Wang, Shentao Qin, Yanjun Zhao, Rui Tao, Hui Shao, Yijie Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RoRE: Rotary Ray Embedding for Generalised Multi-Modal Scene Understanding
Ryan Griffiths, Donald Dansereau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
Soroush Nasiriany, Sep Nasiriany, Abhiram Maddukuri, Yuke Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation
Hao Li, Ziqin Wang, Zi-han Ding, Shuai Yang, Yilun Chen, Yang Tian, Xiaolin Hu, Tai Wang, Dahua Lin, Feng Zhao, Si Liu, Jiangmiao Pang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields
Som Sagar, Jiafei Duan, Sreevishakh Vasudevan, Yifan Zhou, Heni Ben Amor, Dieter Fox, Ransalu Senanayake
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RoboOmni: Proactive Robot Manipulation in Omni-modal Context
Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yu-Gang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
Shiying Duan, Pei Ren, Nanxiang Jiang, Zhengping Che, Jian Tang, Zhaoxin Fan, Yifan Sun, wenjun wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation
Yash Jangir, Yidi Zhang, Kashu Yamazaki, Chenyu Zhang, Kuan-Hsun Tu, Tsung-Wei Ke, Lei Ke, Yonatan Bisk, Katerina Fragkiadaki
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
Shivansh Patel, Shraddhaa Mohan, Hanlin Mai, Unnat Jain, Svetlana Lazebnik, Yunzhu Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Adaptive Multi-Step Predictive Shielding
Tanmay Sadanand Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample
Zhaoyang Zhang, Shen Wang, Runze Liu, Guopu Zhu, Fanghui Sun, Ye Lu, Zeyue Wang, Yihan Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
Charmaine Barker, Daniel Bethell, Simos Gerasimou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan Radev, Paul-Christian Bürkner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Decision-Making with Partially Calibrated Forecasters
Shayan Kiyani, Hamed Hassani, George Pappas, Aaron Roth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation
Shojiro Yamabe, Kazuto Fukuchi, Jun Sakuma
Machine Learning
日本大学: 東京科学大学 / 筑波大学
2026 · ICLR
Robust Equation Structure Learning with Adaptive Refinement
Yunlun Li, Sinno Jialin Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Federated Inference
Akash Dhasade, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Maxime Jacovella, Anne-Marie Kermarrec, Rafael Pinot
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer With Epsilon-Scheduling
Jonas Ngnawé, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frederic Precioso, Christian Gagné
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Fine-tuning of Vision-Language-Action Robot Policies via Parameter Merging
Yajat Yadav, Zhiyuan Zhou, Andrew Wagenmaker, Karl Pertsch, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Generalized Schr\"{o}dinger Bridge via Sparse Variational Gaussian Processes
Minyoung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust LLM Unlearning via Post Judgment and Multi-round Thinking
Xinrui Chen, Xu Cao, Jianhao Zhang, Pinlong Zhao, Di Gao, Ou Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Multi-Objective Controlled Decoding of Large Language Models
Seongho Son, William Bankes, Sangwoong Yoon, Shyam Sundhar Ramesh, Xiaohang Tang, Ilija Bogunovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Optimization for Mitigating Reward Hacking with Correlated Proxies
Zixuan Liu, Xiaolin Sun, Zizhan Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Preference Alignment via Directional Neighborhood Consensus
Ruochen Mao, Yuling Shi, Xiaodong Gu, Jiaheng Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Reward Modeling via Causal Rubrics
Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Selective Activation with Randomized Temporal K-Winner-Take-All in Spiking Neural Networks for Continual Learning
Jiangrong Shen, Liang Zhao, Qi Xu, Yuqi Yang, Liangjun Chen, Gang Pan, Badong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Spiking Neural Networks Against Adversarial Attacks
Shuai Wang, Malu Zhang, Yulin Jiang, Dehao Zhang, Ammar Belatreche, Yu Liang, Yimeng Shan, Zijian Zhou, Yang, Haizhou Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Test-time Video-Text Retrieval: Benchmarking and Adapting for Query Shifts
Bingqing Zhang, Zhuo Cao, Heming Du, Yang Li, Xue Li, Jiajun Liu, Sen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust Training of Neural Networks at Arbitrary Precision and Sparsity
Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Li Zhang, Mark Sandler, Andrew Howard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning
Youngwoo Cho, Seunghoon Yi, Wooil Yang, Sungmo Kang, Young-Woo Son, Jaegul Choo, Joonseok Lee, Soo Kyung Kim, Hongkee Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
Victor Oei, Jenny Schmalfuss, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andreas Bulling, Andres Bruhn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robustify Spiking Neural Networks via Dominant Singular Deflation under Heterogeneous Training Vulnerability
Desong Zhang, Jia Hu, Geyong Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses
Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robustness in the Face of Partial Identifiability in Reward Learning
Filippo Lazzati, Alberto Maria Metelli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Robustness of Probabilistic Models to Low-Quality Data: A Multi-Perspective Analysis
Liu Peng, Yaochu Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rodrigues Network for Learning Robot Actions
Jialiang Zhang, Haoran Geng, Yang You, Congyue Deng, Pieter Abbeel, Jitendra Malik, Leonidas Guibas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rolling Forcing: Autoregressive Long Video Diffusion in Real Time
Kunhao Liu, Wenbo Hu, Jiale Xu, Ying Shan, Shijian Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs
Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna Gummadi, Muhammad Bilal Zafar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers
Yifan (Louie) Lu, Rixin Liu, Jiayi Yuan, Xingqi Cui, Shenrun Zhang, Hongyi Liu, Jiarong Xing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
Dongyuan Li, Shun Zheng, Chang XU, Jiang Bian, Renhe Jiang
Machine Learning
日本大学: 東京大学
2026 · ICLR
Routing Manifold Alignment Improves Generalization of Mixture-of-Experts LLMs
Zhongyang Li, Ziyue Li, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）