ICML

2022–2026 LIVE

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Machine Learning

2026 · 6,341 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 · ICML
AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
Yifan WU, Yiran Peng, Yiyu Chen, Jianhao Ruan, Zijie Zhuang, Cheng Yang, Jiayi Zhang, Man CHEN, Yenchi Tseng, Zhaoyang Yu, Liang Chen, Yuyao Zhai, Bang Liu, Chenglin Wu, Yuyu Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Autobidding Auctions with LLM-Powered Creatives
Bingzhe Wang, Bowei Zhang, Changyuan Yu, Qi Qi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
Beyazit Yalcinkaya, Marcell Vazquez-Chanlatte, Ameesh Shah, Hanna Krasowski, Sanjit Seshia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMs
Beibei Xiong, Hangyu Lv, Junqi Liu, Yisen Wang, Shaoshi Chen, Jianlin Wang, Zhengfeng Yang, Lihong Zhi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automatic Construction of Clinical Scoring Systems with LLM Agents
Silas Ruhrberg Estevez, Chris Chiu, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automatic Layer Selection for Hallucination Detection
Xinpeng Wang, William Cao, Andrew Wilson, Zhe Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automatic Pruning Discovery for Large Language Models
Haidong Kang, Lihong Lin, Enneng Yang, Hong-Ning Dai, Hao Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automatic Unsupervised Ensemble Outlier Model Selection
Hong-Phuc Phan, Tuan-Anh Vu, Tung Kieu, Sơn Hà Xuân, Bin Yang, Christian S Jensen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Automatically Finding Reward Model Biases
Atticus Wang, Iván Arcuschin, Arthur Conmy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Autoregression with Self-Token Prediction
Dengsheng Chen, Yangming Shi, Enhua Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Autoregressive Boltzmann Generators
Danyal Rehman, Charlie Tan, Yoshua Bengio, Joey Bose, Alexander Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Autoregressive Direct Preference Optimization
Masanari Oi, Mahiro Ukai, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue
Machine Learning
日本大学: 東京科学大学
2026 · ICML
Autoregressive Image Generation with Masked Bit Modeling
Qihang Yu, Qihao Liu, Ju He, Xinyang Zhang, Yang Liu, Liang-Chieh Chen, Peter Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
Mathieu Blondel, Michael Sander, Germain Vivier-Ardisson, Tianlin Liu, Vincent Roulet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
Chengran Yang, zichao wei, Heminghao Deng, Jinfeng Jiang, Zhensu Sun, Ting Zhang, Tianyi Wu, Ming Wen, David Lo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
AvAtar: Learning to Align via Active Optimal Transport
Qi Yu, Ruizhong Qiu, Zhichen Zeng, My T. Thai, huan liu, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Avoid What You Know: Divergent Trajectory Balance for GFlowNets
Pedro Dall’Antonia, Tiago Silva, Daniel Csillag, Salem Lahlou, Diego Mesquita
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
Xing Xi, Liyao Li, Hao Chen, NINGTAO WANG, Peixian Chen, peilin tong, Xing Fu, Yu Cheng, Haobo Wang, Gang Chen, Junbo Zhao, Ronghua Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
Minghao Guo, Wojciech Matusik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
A²RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
Qingchuan Ma, Yuexiao Ma, Yongkang Xie, Tianyu Xie, Xiawu Zheng, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
B-Spar: Bayesian Sparse-Reward Modeling for RL-based Image Editing
shusong xu, Peiye Liu, Yongbin Liu, Bangjie Yin, Tianyi Zheng, Zhaomang Sun, Zhenyu Chen, Peng-Tao Jiang, Jian Zhang, Yuzhao Wang, Zhen Gu, Jinwei Chen, Bo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
Rui-Yang Zhang, Lachlan Astfalck, Edward Cripps, David Leslie, Henry Moss
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
Arnon Mazza, Elad Levi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BAS: Bridging Adam and SignSGD for Memory-Efficient LLM Training
Yijie Zhou, Mingliang Zhang, Jiaqi Zhang, Xunliang Cai, Shi Pu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BASIL: Scalable Bayesian Semi-supervised Clustering with Feature Selection and Adaptive Constraint Weighting
Luwei Wang, Dagmara Panas, Ke Wang, Bruce Guthrie, Sohan Seth
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BAT: Better Audio Transformer Guided by Convex Gated Probing
Houtan Ghaffari, Lukas Rauch, Christoph Scholz, Paul Devos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BEAR: Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis
Yu Qi, Haibo Zhao, Ziyu Guo, Siyuan Ma, Ziyan Chen, Yaokun Han, Renrui Zhang, Zitiantao Lin, Yizhe Zhu, Shiji Xin, Yijian Huang, Boce Hu, Kai Cheng, Jiayi Zhang, Peiheng Wang, jiazheng liu, Wenqing Wang, Yiran Qin, Haojie Huang, Lawson Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps
Lekai Qian, Haoyu Gu, Jingwei Zhao, Ziyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BEDTime: A Unified Benchmark for Automatically Describing Time Series
Medhasweta Sen, Zachary Gottesman, Jiaxing Qiu, C. Bayan Bruss, Nam Nguyen, Thomas Hartvigsen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
Hyunseo Kim, Sangam Lee, Kwangwook Seo, Dongha Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BEST: Benchmarking Efficiency in Space and Time for LLM-Generated Code
Aocheng Shen, Boyu Zhang, Jiaze Li, Ruixuan Ma, Qiankun Zhang, Wang, Bin Yuan, Shenghao Liu, Xianjun Deng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
Yuhan Xie, Chen Lyu, Jingrong Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BFCL Audio: An Audio Function Calling Evaluation for Large Language Models
Huanzhi Mao, Aditya Ghai, Imra Dawoodani, Tony Ginart, Shishir G. Patil, John Emmons, Joseph E Gonzalez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BFTS: Thompson Sampling with Bayesian Additive Regression Trees
Ruizhe Deng, Bibhas Chakraborty, Ran Chen, Yan Shuo Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BIOARC: Discovering Optimal Neural Architectures for Biological Foundation Models
Yi Fang, Haoran Xu, Jiaxin Han, Sirui Ding, Yizhi Wang, Yue Wang, Xuan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BIT-LLM: Brain Instruction Tuned LLM with persistent Cross-Attention for fMRI-to-Text Decoding
Sunghwan LEE, jihun kim, Chaelynn Kim, Jiyun Park, Jong-Hwan Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BLIPs: Bayesian Learned Interatomic Potentials
Dario Coscia, Pim de Haan, Max Welling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining
Jie Hao, Rui Yu, Wei Zhang, Huixia Judy Wang, Jie Xu, Mingrui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking
Muhammed Ustaomeroglu, Guannan Qu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BOCLOAK: Optimal Transport-Guided Adversarial Attacks on Graph Neural Network-Based Bot Detection
Kunal Mukherjee, Zulfikar Alom, Tran Gia Bao Ngo, Cuneyt Akcora, Murat Kantarcioglu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BOOSTAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models
Yuanhao Li, Hongbo Wang, Xiaotang Shang, Xunzhu Tang, Yiming Cao, Xuhong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
Junyu Chen, Jungang Li, Jing Xiong, Wenjie Wang, Qingyao Yang, He Xiao, Zhen Li, Taiqiang Wu, Mengzhao Chen, Zhen Peng, Chaofan Tao, Long Shi, Hongxia Yang, Ngai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BPL: Generalizable Deepfake Detection via Bias-only Pair-aware Learning
Yuxiang Xu, Rundong He, Zhiyuan Yan, Yicong Dong, Zhongyi Han, Xiaoyan Wang, Yilong Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BRIDGE: Predicting Human Task Completion Time From Model Performance
Fengyuan Liu, Jay Gala, Nilaksh, Dzmitry Bahdanau, Siva Reddy, Hugo Larochelle
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BRIDGE: Triangular Fixed-Point Refinement for Long-Horizon Persona Consistency
Yinghui Jiang, Bocheng Xu, Jianye Xie, Haotong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BTSP-CAM: A Brain-Inspired Geometric Memory for Class-Incremental Learning
Zheng Zhang, Jiaye Yang, Qingjie Guo, Jiangrong Shen, Long Chen, Qi Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception
Geng Li, Yuxin Peng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks
Ivan Sabolic, Marin Oršić, Josip Šarić, Sven Loncaric
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BabyVision: Visual Reasoning Beyond Language
Liang Chen, Weichu Xie, Liang Yiyan, Hongfeng He, Haozhe Zhao, Zhibo Yang, Zhiqi Huang, Haoning Wu, Haoyu Lu, Y.Charles, Yiping Bao, YuanTao Fan, Guopeng Li, Haiyang Shen, Xuanzhong Chen, Wendong Xu, Shuzheng Si, Zefan Cai, Wenhao Chai, Ziqi Huang, Fangfu Liu, Tianyu Liu, Baobao Chang, Ming Wu, Xiaobo Hu, Kaiyuan Chen, Yixin Ren, Yang Liu, Yuan Gong, Kuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Backjump-on-Graph: Empowering Large Language Models with Reinforced Retrospective Exploration for Agentic Knowledge Graph Reasoning
Yunqi Zhang, Shiqi Yan, Zhenzhao Yuan, Wenrui Liang, Yangming Liu, Zhixiao Qi, Tianyi Zhang, Shijie Zhang, Wei-Qiang Zhang, Yongfeng Huang, Haixin Duan, Shuai Chen, Yubo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
Nicolas Keriven
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Backward SDE–Based Diffusion for Physics-Constrained Generation
Zihao WANG
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
Haozhe WANG, Qixin Xu, Changpeng Wang, Taofeng Xue, Chong Peng, Wenhu Chen, Fangzhen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Baguan-TS: dual in-context learning model for time series forecasting with covariates
Linxiao Yang, Xue Jiang, Gezheng Xu, Tian Zhou, Min Yang, Zhaoyang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, Liang Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence
Valérie Castin, Kimia Nadjahi, Pierre Ablin, Gabriel Peyré
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Balancing Fidelity and Diversity in Diffusion Models via Symmetric Attention Decomposition: Hopfield Perspective
Hyunmin Cho, Woo Kyoung Han, Kyong Hwan Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
Tianyu Pang, Vignesh Kothapalli, Shenyang Deng, Haohui Wang, Dawei Zhou, Yaoqing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Balancing Plasticity and Stability with Fast and Slow Successor Features
Raymond Chua, Doina Precup, Blake Richards
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Balancing Understanding and Generation in Discrete Diffusion Models
Yue Liu, Yuzhong Zhao, Zheyong Xie, Qixiang Ye, Jianbin Jiao, Yao Hu, Shaosheng Cao, Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BandPO: Bridging Trust Regions and Ratio Clipping via Probability-Aware Bounds for LLM Reinforcement Learning
Yuan Li, Bo Wang, Yufei Gao, Yuqian Yao, Xinyuan Wang, Zhangyue Yin, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bandit Social Leaning Dynamics with Exploration Episodes
Kiarash Banihashem, Natalie Collina, Alex Slivkins
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Barriers to Counterfactual Credit Attribution for Autoregressive Models
Aloni Cohen, Chenhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Base Models Know How to Reason, Thinking Models Learn When
Constantin Venhoff, Iván Arcuschin, Phil Torr, Arthur Conmy, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Batch Normalization for Neural Networks on Complex Domains
Xuan Son Nguyen, Nistor Grozavu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Batched Contextual Reinforcement
Bangji Yang, Hongbo Ma, Jiajun Fan, Ge Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Batched First-Order Methods for Parallel LP Solving in MIP
Nicolas Blin, Stefano Gualandi, Christopher Maes, Andrea Lodi, Bartolomeo Stellato
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayes-inspired Integration of Pretrained Priors and Few-Shot Evidence for Few-Shot Classification
Mingyang Zhou, Xiaoxuan Zhang, Gang Liu, Yuhong Feng, Xiaoqun Wu, Hao Liao, Rui Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayesian Gated Non-Negative Contrastive Learning
Peng Cui, Jiahao Zhang, Lijie Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
Lotta Mäkinen, Jorge Loria, Samuel Kaski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
Badr MOUFAD, Albina Ilina, Hai Victor Habi, Salem Lahlou, Yazid Janati, HAGIT MESSER, Eric Moulines
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayesian Tensor Decomposition with Diffusion Model Prior
Zerui Tao, Qibin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements
Tom Sprunck, Marcelo Pereyra, Tobías Liaudat
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
Moule Lin, Shuhao Guan, Andrea Patane, David Gregg, Goetz Botterweck
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
Janghyeon Kim, Minsoo Kim, Kyuhong Shim, Jungwook Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
Fuyuan Qian, Menglong Zhang, Song Wang, Quanying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies
Alberta Longhini, David Emukpere, Jean-Michel Renders, Seungsu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Being More Lightweight and Practical: Mini-sized Contrastive Learning Pre-trained Models for Fine-grained Traffic Task
Shuhao Li, Weidong Yang, Ben Fei, Yue Cui, Lipeng Ma, Fan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
Eric Bigelow, Daniel Wurgaft, YingQiao Wang, Noah Goodman, Tomer Ullman, Hidenori Tanaka, Ekdeep Singh Lubana
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
Tom Yates, Yuzhou Cheng, Ignacio Alzugaray, Danyal Akarca, Pedro Mediano, Andrew Davison
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
Zexue He, Yu Wang, Churan Zhi, Yuanzhe Hu, Tzu-Ping Chen, Lang Yin, Ze Chen, Tong Wu, Siru Ouyang, Tom Tang, Jiaxin Pei, Julian McAuley, Yejin Choi, Alex Pentland
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking Dense and Indiscernible Object Counting with Blueberries
Weihao Bo, Yanpeng Sun, Jingwen Qin, Fei Shen, Xiaofan Li, Zechao Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
Yuqiao Meng, Luoxi Tang, Feiyang Yu, Xi Li, Guanhua Yan, Ping Yang, Zhaohan Xi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting
Tao Han, Zhibin Wen, Zhenghao Chen, Dazhao Du, Song Guo, LEI BAI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking Reward Hack Detection in Code Environments via Contrastive Analysis
Darshan Deshpande, Anand Kannappan, Rebecca Qian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking World-Model Learning with Environment-Level Queries
Archana Warrier, Dat Nguyen, Michelangelo Naim, Moksh Jain, Yichao Liang, Karen Schroeder, Cambridge Yang, Josh Tenenbaum, Sebastian Vollmer, Kevin Ellis, Zenna Tavares
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking and Enhancing VLM for Compressed Image Understanding
Zifu Zhang, Tongda Xu, Siqi Li, Shengxi Li, Yue Zhang, Mai Xu, Yan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation
Junjie Wang, 星华娄, Xiangtai Li, Ye Tian, Keyu Chen, Yulin Li, Bin Kang, Guangcan Mai, Yanwei Li, Zhuotao Tian, Liqiang Nie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking and Improving Fine-Grained Text-to-Image Alignment via Paired Reinforcement Learning
Kaihang Pan, Wendong Bu, Yuruo Wu, Kai Shen, Yang Wu, Yun Zhu, Zehan Wang, liyunfei, ZhaoHang, Juncheng Li, Siliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking at the Edge of Comprehension
Samuele Marro, Jialin Yu, Emanuele La Malfa, Oishi Deb, Jiawei Li, Yibo Yang, Ebey Abraham, Sunando Sengupta, Eric Sommerlade, Michael Wooldridge, Phil Torr
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
Yuheng Jing, Kai Li, Jiajun Zhang, Zeyao Ma, Jiaxi Yang, Lei Zhang, zhe wu, Jinmin He, Junliang Xing, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benchmarking the Scientific Mind: A Pathology-Derived Biomedical VQA Benchmark for Complex Scientific Reasoning
Ziyu Zhao, Yiyang Liu, Yajiao Wang, Xiaotao Wang, Yang Li, Yuyang Peng, Jiaheng Zhou, Jinqiao Wang, Yingying Chen, Ge Yang, Haixin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image Restoration
Zihao He, Yunfeng Wu, Xinchao Wang, Songhua Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Benign Overfitting in Adversarial Training for Vision Transformers
Jiaming Zhang, Meng Ding, Shaopeng Fu, Jingfeng Zhang, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
Onkar Susladkar, Tushar Prakash, Gayatri Deshmukh, Kiet Nguyen, Jiaxun Zhang, Adheesh Juvekar, Tianshu Bao, Lin Chai, Sparsh Mittal, Inderjit Dhillon, Ismini Lourentzou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Best-of-Both-Worlds for Heavy-Tailed Markov Decision Processes
Yu Chen, Yuhao Liu, Jiatai Huang, Yihan Du, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Better, Faster: Harnessing Self-Improvement in Large Reasoning Models
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Leszek Rutkowski, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Beyond Accuracy and Complexity: The Effective Information Criterion for Structurally Stable Symbolic Regression
Zihan Yu, Guanren Wang, Jingtao Ding, Huandong Wang, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Beyond Accuracy: Latent Perturbations for Cognitive-Aware Diagnosis
Yuting Yan, Yinghao Fu, Wendi Ren, Haozhou Gao, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Beyond Additive Decompositions: Interpretability Through Separability
Jinyang Liu, Munir Hiabu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery
Siqi Lu, Wei Suo, Yongbin Zheng, Jianhang Yao, Wanying XU, Peng Wang
Machine Learning
日本大学: 関与なし（対象大学）