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
XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan Yuille, Emad Barsoum, Zicheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning
Daniel Palenicek, Florian Vogt, Joe Watson, Ingmar Posner, Jan Peters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
Botao Ye, Boqi Chen, Haofei Xu, Daniel Barath, Marc Pollefeys
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
You Point, I Learn: Online Adaptation of Interactive Segmentation Models for Handling Distribution Shifts in Medical Imaging
Wentian Xu, Ziyun Liang, Harry Anthony, Yasin Ibrahim, Felix Cohen, Guang Yang, Konstantinos Kamnitsas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shuai Shao, Qihan Ren, Dongrui Liu, Chen Qian, Boyi Wei, Dadi Guo, Jingyi Yang, Xinhao Song, Linfeng Zhang, Weinan Zhang, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Your Language Model Secretly Contains Personality Subnetworks
Ruimeng Ye, Zihan Wang, Zinan Ling, Yang Xiao, Manling Li, Xiaolong Ma, Bo Hui
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking
Jinyi Han, Ying Huang, Ying Liao, Haiquan Zhao, Zishang Jiang, Xinyi Wang, Xikun Lu, Guanghao Zhou, Sihang Jiang, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
Yi-Chung Chen, David Inouye, Jing Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
Junnan Dong, Siyu An, Yifei Yu, QIANWEN ZHANG, Linhao Luo, Xiao Huang, di yin, Yunsheng Wu, Xing Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
YuE: Scaling Open Foundation Models for Long-Form Music Generation
Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xeron Du, Zhen Ye, Tianyu Zheng, Zhengxuan Jiang, Yinghao MA, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Jun Zhan, Chunhui Wang, Yatian Wang, Xiaowei Chi, Xinyue Zhang, Zhenzhu Yang, XiangzhouWang, Shansong Liu, Lingrui Mei, Peng Li, JUNJIE WANG, Jianwei Yu, Guojian Pang, Xu Li, Zihao Wang, Xiaohuan Zhou, Lijun Yu, Emmanouil Benetos, Yong Chen, Chenghua Lin, Xie Chen, Gus Xia, Zhaoxiang Zhang, Chao Zhang, Wenhu Chen, Xinyu Zhou, Xipeng Qiu, Roger Dannenberg, JIAHENG LIU, Jian Yang, Wenhao Huang, Wei Xue, Xu Tan, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning
Ang Li, Charles L. Wang, Deqing Fu, Kaiyu Yue, Zikui Cai, Wang Zhu, Ollie Liu, Peng Guo, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zephyrus: An Agentic Framework for Weather Science
Sumanth Varambally, Marshall Fisher, Jas Thakker, Yiwei Chen, Zhirui Xia, Yasaman Jafari, Ruijia Niu, Manas Jain, Veeramakali Vignesh Manivannan, Zachary Novack, Luyu Han, Srikar Eranky, Salva Rühling Cachay, Taylor Berg-Kirkpatrick, Duncan Watson-Parris, Yian Ma, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zero-Overhead Introspection for Adaptive Test-Time Compute
Rohin Manvi, Joey Hong, Tim Seyde, Maxime Labonne, Mathias Lechner, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
Zhuxin Lei, Ziyuan Yang, Yi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
Maksim Bobrin, Ilya Zisman, Alexander Nikulin, Vladislav Kurenkov, Dmitry Dylov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zero-shot Forecasting by Simulation Alone
Boris Oreshkin, Mayank Jauhari, Ravi Kiran Selvam, Malcolm Wolff, Wenhao Pan, Shankar Ramasubramanian, KIN GUTIERREZ, Tatiana Konstantinova, Andres Potapczynski, Mengfei Cao, Dmitry Efimov, Michael W Mahoney, Andrew Gordon Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition
Shiyu Xuan, Dongkai Wang, Zechao Li, Jinhui Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers
Sahil Bhandary Karnoor, Romit Roy Choudhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval
Weiwei Sun, Keyi Kong, xinyu ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse
Guohao Chen, Shuaicheng Niu, Chen Deyu, Jiahao Yang, Zitian Zhang, Mingkui Tan, Pengcheng Wu, Zhiqi Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
Feijiang Han, Xiaodong Yu, Jianheng Tang, Delip Rao, Weihua Du, Lyle Ungar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores
Chunshu Wu, Ruibing Song, Sushant Kondguli, Tony Geng, Ang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
``Noisier'’ Noise Contrastive Estimation is (Almost) Maximum Likelihood
Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Sirui Xie, RUIYAO MIAO, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Yingnian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
Yuchu Jiang, Yue Cai, Xiangzhong Luo, Jiale Fu, Jiarui Wang, CHONGHAN LIU, xu yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
dParallel: Learnable Parallel Decoding for dLLMs
Zigeng Chen, Gongfan Fang, Xinyin Ma, Ruonan Yu, Xinchao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur, Matthew Yang, Charlie Snell, Jeremiah Greer, Ian Wu, Virginia Smith, Max Simchowitz, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
Subhodip Panda, Dhruv Tarsadiya, Shashwat Sourav, Prathosh AP, Sai Karimireddy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL
Bhavya Agrawalla, Michal Nauman, Khush Agrawal, Aviral Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity
Hugh Blayney, Alvaro Arroyo, Xiaowen Dong, Michael Bronstein
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
gen2seg: Generative Models Enable Generalizable Instance Segmentation
Om Khangaonkar, Hamed Pirsiavash
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network
Yanru Qu, Yijie Zhang, Wenjuan Tan, Xiangzhe Kong, Xiangxin Zhou, Chaoran Cheng, Mathieu Blanchette, Jiaxuan You, Ge Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction
Ziheng Ni, Congcong Liu, Yuying Chen, Zhiwei Fang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models
Lianyu Hu, Liqing Gao, Fanhua Shang, Liang Wan, Wei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
jqBench: a benchmark for reading and editing JSON from natural language and/or examples
Gust Verbruggen, Chris Parnin, Vu Le, Sumit Gulwani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
lmgame-Bench: How Good are LLMs at Playing Games?
Lanxiang Hu, Mingjia Huo, Yuxuan Zhang, Haoyang Yu, Eric P Xing, Ion Stoica, Tajana Rosing, Haojian Jin, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
Carl Edwards, Chi Han, Gawon Lee, Thao Nguyen, Sara Szymkuć, Chetan Prasad, Bowen Jin, Jiawei Han, Ying Diao, Ge Liu, Hao Peng, Bartosz Grzybowski, Martin Burke, Heng Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
David Anugraha, Shou-Yi Hung, Zilu Tang, En-Shiun Annie Lee, Derry Wijaya, Genta Winata
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
Hansheng Chen, Kai Zhang, Hao Tan, Leonidas Guibas, Gordon Wetzstein, Sai Bi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning
Zhanpeng Luo, Ce Zhang, Silong Yong, Cunxi Dai, Qianwei Wang, Haoxi Ran, Guanya Shi, Katia Sycara, Yaqi Xie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
reAR: Rethinking Visual Autoregressive Models via Token-wise Consistency Regularization
Qiyuan He, Yicong Li, Haotian Ye, Jinghao Wang, Xinyao Liao, Pheng-Ann Heng, Stefano Ermon, James Y Zou, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
Chenglei Yu, Chuanrui Wang, Bangyan Liao, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
Weixuan Yuan, Zengrui Jin, Yichen Wang, Donglin Xie, Ziyi Ye, Chao Zhang, Xuesong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ssToken: Self-modulated and Semantic-aware Token Selection for LLM Fine-tuning
Xiaohan Qin, Victor Wang, Ning Liao, Cancheng Zhang, Xiangdong Zhang, Mingquan Feng, Jingzhi Wang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
t-SNE Exaggerates Clusters, Provably
Noah Bergam, Szymon Snoeck, Nakul Verma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
vAttention: Verified Sparse Attention via Sampling
Aditya Desai, Kumar Agrawal, Shuo Yang, Alejandro Cuadron Lafuente, Luis Gaspar Schroeder, Matei Zaharia, Joseph E Gonzalez, Ion Stoica
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
vCache: Verified Semantic Prompt Caching
Luis Gaspar Schroeder, Aditya Desai, Alejandro Cuadron Lafuente, Kyle Chu, Shu Liu, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E Gonzalez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models
Xiaohang Tang, Rares Dolga, Sangwoong Yoon, Ilija Bogunovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
Maximilian Beck, Kajetan Schweighofer, Sebastian Böck, Sebastian Lehner, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
Daniel Beaglehole, David Holzmüller, Adityanarayanan Radhakrishnan, Misha Belkin
Machine Learning
日本大学: 関与なし（対象大学）