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
MEDA: Medical-Oriented Activation Editing for Hallucination Mitigation in Medical Large Vision-Language Model
Tianbo Wang, Yuqing Ma, Lingyan Meng, Zhange Zhang, Kewei Liao, Jian Yang, Simin Li, Jinyang Guo, Xianglong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MEDUSA: Motion Elimination in Diffusion Using Spectral Attack
Hongwei Yu, Daoqing Zha, Xinlong Ding, Jiawei Li, Junbao Zhuo, Qiankun Liu, Huimin Ma, Jiansheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
Dulhan Jayalath, ʻŌiwi Parker Jones
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
Yunfei Xie, Kevin Wang, Bobby Cheng, Jianzhu Yao, Zhizhou Sha, Alexander Duffy, Yihan Xi, Hongyuan Mei, Cheston Tan, Chen Wei, Pramod Viswanath, Zhangyang “Atlas” Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
Yavuz Yarici, Ghassan AlRegib
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MESA: Improving MoE Safety Alignment via Decentralized Expertise
Yitong Sun, Yao Huang, Teng Li, Ranjie Duan, Yichi Zhang, Xingjun Ma, Hui Xue', Xingxing Wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
Vanya Cohen, Ray Mooney
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering
Chuanzhe Guo, Jingjing Wu, Sijun He, Yang Chen, Zhaoqi Kuang, Shilong Fan, Bingjin Chen, Siqi Bao, Jing Liu, Hua Wu, Qingfu Zhu, Wanxiang Che, Haifeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MFH-NAS:A Hybrid Neural Architecture Search Framework for Multimodal Fusion Object Detection
QuanWei Gao, Shuqi Zhao, Ruyu Wang, Shuyin Zhang, Cong Liu, Zirui Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
Chunhan Li, Chenglin Xu, Zongyang Zhang, Jiale Liu, Zhuoxi Rao, Xudong jia, JUNXIU HE, Menglin Yang, Wenjuan Gong, Zhengzhe Liu, Chengwei Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MICE-Bench: A Challenging and Comprehensive Benchmark for Multi-Reference Image Creation and Editing
Siqi Luo, Huayu Zheng, Jianghan Shen, Yi Xin, Luxin Xu, Jiyao Liu, Xinyu Zhang, Hang Zhou, Pengyu Xie, Xiaohui Li, Shuo Cao, Yuandong Pu, Junjun He, Bin Fu, Yihao Liu, Yu Qiao, Guangtao Zhai, Yuewen Cao, Xiaohong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIMO-LP: A Multi-Input Multi-Output Framework for Subgraph-based Link Prediction
Yixin Song, Guangchi Liu, Xiangyu Xu, Shaofeng Li, Zhen Ling, Yiwei Wang, Yujun Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIMOMamba: From Scalar Duality to Matrix-Valued Attention
Yanbo Li, Richard Cornelius Suwandi, Feng Yin, Yiyong SUN, Wei Huang, Wenqiang Pu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
Dayong Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models
Chuang Yu, Jinmiao Zhao, Mingxuan Zhao, Yunpeng Liu, Xiujun Shu, Feng Yuanhao, Bo Wang, Xiangyu Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MINIM: Privacy-Aware Minimal View for Agents via Trusted Local Sanitization
Hexuan Yu, Chaoyu Zhang, Heng Jin, Shanghao Shi, Ning Zhang, Thomas Hou, Wenjing Lou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
Zeyu Fang, Mahdi Imani, Tian Lan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
Sammy Sharief, Justine Zeghal, Gabriel Missael Barco, Pablo Lemos, Yashar Hezaveh, Laurence Perreault-Levasseur
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency
Nicolas Dufour, Lucas Degeorge, Arijit Ghosh, Vicky Kalogeiton, David Picard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MIST: Moment-Aligned Invariant Stability Transform for Robust Flow Matching
Liang Peng, Deqing Li, Yujia Wu, Hao Meng, Kuan Cao, Yu Wu, Xiaoxiao Xu, Lin Qu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
Zexi Liu, Jingyi Chai, Xinyu Zhu, shuo tang, Rui Ye, Weiyu Ma, Bo Zhang, LEI BAI, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
Ziyin Zhang, Zihan Liao, Hang Yu, Peng Di, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MLLM-4D: Towards Visual-based Spatial-Temporal Intelligence
Xingyilang Yin, Chengzhengxu Li, Jiahao Chang, Chi-Man Pun, Xiaodong Cun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
He Li, Haoang Chi, Qizhou Wang, Yunxin Mao, Zhiheng Zhang, Jie Tan, Tongliang Liu, Wenjing Yang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MM-DeepResearch: A Simple and Effective Multimodal Agentic Search Baseline
Huanjin Yao, Qixiang Yin, Min Yang, Ziwang Zhao, Yibo Wang, Haotian Luo, Jingyi Zhang, Jiaxing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
Yue Jiang, Xue JIANG, Lihua Zhang, Zhiqiang Wang, Yuhang Lu, Peng Wang, Bo Han, Feng Zheng, Dingkang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MM-Spectrum: Multimodal Multi-spectral Molecular Structural Elucidation with a Stable MoE Framework
Haitao YU, Nan Min, Zheng Fang, Hongyu Zhan, Yusen Tan, Yuhan Wang, Jun Xia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MMBench-Live: A Continuously Evolving Benchmark for Multimodal Models
Yuanzhi Liu, Shousheng Zhao, Bo Zhou, Kongming Liang, Zhanyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MMClima: A Framework for Multimodal Climate Science Data and Evaluation
Muhammad Umer Sheikh, Hassan Abid, Khawar shehzad, Ufaq Khan, Muhammad Haris Khan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance
Matina Mahdizadeh Sani, Nima Jamali, Mohammad Jalali, Farzan Farnia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MME-Reasoning: A Broad-Spectrum Benchmark for Evaluating Logical Reasoning in MLLMs
Jiakang Yuan, Tianshuo Peng, Yilei Jiang, Yiting Lu, Renrui Zhang, Kaituo Feng, Chaoyou Fu, Tao Chen, LEI BAI, Bo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge
Baochen Fu, Yuntao Du, Cheng Chang, Baihao Jin, Wenzhi Deng, Muhao Xu, Hongmei Yan, Weiye Song, Yi Wan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MMPD-Bench: Bridging Multimodal Fission with Multi-Polarimetric Modalities Decomposition
Yi He, Zimo Zhao, Yiming Yang, Xiaoyuan Cheng, Chao He, Yukun Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
Yao Guan, Lin Wang, Zhihui Lu, Ziyi Wang, Wenzhu Yan, Qiang Duan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MOD-SR: Unifying Multimodal Learning and Direct Optimization with Gradient-Guided Diffusion Model for Symbolic Regression
Chuyang Xiang, Yichen Wei, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MODEL SOUPS NEED ONLY ONE INGREDIENT
Alireza Abdollahpourrostam, Nikolaos Dimitriadis, Adam Hazimeh, Pascal Frossard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MODUS: Decoder-only Any-to-Any Modeling of Diverse Modalities
Mingqiao Ye, Zhaochong An, Zhitong Gao, Xian Liu, Oğuzhan Fatih Kar, Jesse Allardice, Roman Bachmann, David Mizrahi, François Fleuret, Chuan Li, Amir Zadeh, Serge Belongie, Afshin Dehghan, Amir Zamir
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MOES-Pred: Molecular Structural Representation Learning by Adaptive Energy-Sentinel Vibration for Generalized Property Prediction
ZHIRAN HOU, TINGHUAI MA, Huan Rong, Li Jia, Anouar Imel, Heng Zhang, Ming Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
Zonglin Yang, Lidong Bing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models
Xiao Lin, Zhining Liu, Ze Yang, Gaotang Li, Ruizhong Qiu, Shuke Wang, Hui Liu, Haotian Li, Yuchen Yan, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MORE: A Multilingual Document Parsing Benchmark and Evaluation
Long Xu, Binghong Wu, TingHao YU, Hao Feng, zhenyuhuang, Haoqing Jiang, Yunhao Wang, Shuo Huang, feng zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MPFM: Cross Multi-Domain Prototype Flow Matching for Log Anomaly Detection
Jing Zhang, Chao Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MRPO: Magnitude-Regularized Policy Optimization via L1 Constraints
Wei Han, Yuanxing Liu, Mingda Li, Ruiyu Xiao, Weinan Zhang, Ting Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MSP: Probabilistically Consistent Multi-Scale Action Generation
Zhixuan Lin, Gengqi Liu, Chao Zheng, Gao Lin, Jindong Yu, Song Gao, Fei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MTNL: A Unified Modeling Perspective for Enhancing Tensor Network Learning
Junhua Zeng, Yuning Qiu, Binghua Li, Chao Li, Qibin Zhao, Guoxu Zhou
Machine Learning
日本大学: 東京農工大学
2026 · ICML
MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries
Weizheng Zhang, Xunjie Xie, Hao Pan, Xiaowei Duan, Bingteng Sun, Qiang Du, Lin Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MUSE: Resolving Manifold Misalignment in Visual Tokenization via Topological Orthogonality
Panqi Yang, Haodong Jing, Jiahao Chao, Tingyan Xiang, Li Lin, Yao Hu, Yang Luo, Yongqiang Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MV-FGAD: Towards Efficient and Effective Federated Graph Anomaly Detection via Multi-view Learning
Junyi Yan, KE LIANG, Hao Yu, Meng Liu, Hao Tan, Tianrui Liu, Jun-Jie Huang, Xinwang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
Huiyi Chen, Jiawei Peng, Dehai Min, Changchang Sun, Kaijie Chen, Yan Yan, Xu Yang, Lu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation
Jiaxu Wang, JIANG Yicheng, Tianlun HE, Jingkai SUN, Qiang Zhang, Jiahang Cao, Zesen Gan, Mingyuan Sun, Qiming Shao, Xiangyu Yue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction
Jung Min Lee, Dohyeok Lee, Seokhun Ju, Taehyun Cho, Jin Koo, Li Zhao, Sangwoo Hong, Jungwoo Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MVR-cache: Optimizing Semantic Caching via Multi-Vector Retrieval and Learned Prompt Segmentation
Ali Noshad, Zishan Zheng, Yinjun Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
Jonathan Nöther, Adish Singla, Goran Radanovic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MaMi-HOI: Harmonizing Global Kinematics and Local Geometry for Human-Object Interaction Generation
Hao Wang, Shiqi Wang, Qi Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Machine Learning Hamiltonians are Accurate Energy-Force Predictors
Seongsu Kim, Chanhui Lee, Yoonho Kim, Seongjun Yun, Honghui Kim, Nayoung Kim, Changyoung Park, Sehui Han, Sungbin Lim, Sungsoo Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MacroGuide: Topological Guidance for Macrocycle Generation
Alicja Maksymiuk, Alexandre Duplessis, Michael Bronstein, Alexander Tong, Fernanda Duarte, Ismail Ceylan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Magnitude Distance: A Geometric Measure of Dataset Similarity
Sahel Torkamani, Henry Gouk, Rik Sarkar
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Making Expert Reasoning Learnable with Self-Distillation
Ethan Mendes, Jungsoo Park, Alan Ritter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Making Learner Weakness Actionable for Learning from Demonstration with Novice Teachers
Yuqing Zhu, Matthew Howard
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Making Models Unmergeable via Scaling-Sensitive Loss Landscape
Minwoo Jang, Hoyoung Kim, Jabin Koo, Jungseul Ok
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MalTree: Tracing Malware Evolution using Embeddings at Scale
Akash Amalan, Georgios Smaragdakis, Tom Viering
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ManiSoft: Towards Vision-Language Manipulation for Soft Continuum Robotics
Ziyu Wei, Luting Wang, Chen GAO, Li Wen, Si Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution
Soyeon Kim, Seongwoo Lim, Kyowoon Lee, Jaesik Choi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Manifold-Aware Perturbations for Constrained Generative Modeling
Katherine Keegan, Lars Ruthotto
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Manifold-Optimal Guidance: A Unified Riemannian Control View of Diffusion Guidance
Zexi Jia, Pengcheng Luo, Zhengyao Fang, Jinchao Zhang, Jie Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
Debajyoti Datta, Trishala Neeraj, Bibek Paudel, Vyom Sharma, subhabrata mukherjee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mantis: Lightweight Foundation Model for Time Series Classification
Vasilii Feofanov, Songkang Wen, Shifeng Xie, Simon Roschmann, Marius Alonso, Hongbo Guo, Romain Ilbert, Malik TIOMOKO, Quentin Bouniot, Zeynep Akata, Lujia Pan, Jianfeng Zhang, Ievgen Redko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible?
Felix Schur, Niklas Pfister, Peng Ding, Sach Mukherjee, Jonas Peters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
Andrea Rubbi, Arpit Merchant, Samuel Ogden, Amir Akbarnejad, Pietro Lió, Sattar Vakili, Mohammad Lotfollahi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MapDream: Task-Driven Map Learning for Vision-Language Navigation
Guoxin Lian, Shuo Wang, Yucheng Wang, Yongcai Wang, Maiyue Chen, kaihui.wang, Bo Zhang, Zhizhong Su, Deying Li, Zhaoxin Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MapUQ: Map with Uncertainty Quantification for Robust BEV Vectorized Construction
Shaoyuan Mo, MaQi, l r, Bohan Li, WangKe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Margin-Adaptive Confidence Ranking for Reliable LLM Judgement
Gaojie Jin, Yong Tao, Lijia Yu, Tianjin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MarketSim: Simulating Stock Markets with Large-Scale Generative Agents
Jinghua Piao, zhentao liu, Cheng Huang, Huang Jiarui, Songwei Li, Wang Ranran, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Markov Chain Monte Carlo without Evaluating the Target: an Auxiliary Variable Approach
Wei Yuan, Guanyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
Ziquan Wei, Tingting Dan, Guorong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Masked Multi-path Contrast with Confidence-Gated Semantic Imputation for Incomplete Multi-view Clustering
Fan Yang, Haikun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
Julianna Piskorz, Cristina Pinneri, Alvaro Correia, Motasem Alfarra, Risheek Garrepalli, Christos Louizos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
Ali Reza Ibrahimzada, Brandon Paulsen, Reyhaneh Jabbarvand, Joey Dodds, Daniel Kroening
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics
Xinyu Liu, Zixuan Xie, Amir Moeini, Claire Chen, Shuze D Liu, Yu Meng, Aidong Zhang, Shangtong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Matrix-Free GPU Semidefinite Programming for Quantum Ordered Search at the k=6 Frontier
Yancheng Wu, Huikang Liu, Wenzhi Gao, Yuexin Su, Tongyang Li, Dongdong Ge, Yinyu Ye
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Matroid Algorithms Under Size-Sensitive Independence Oracles
Kiarash Banihashem, MohammadTaghi Hajiaghayi, Mahdi JafariRaviz, Danny Mittal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MaxSAT-Based Compression for Tsetlin Machines
Stefan Szeider
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Maximin Relative Improvement: Fair Learning as a Bargaining Problem
Jiwoo Han, Moulinath Banerjee, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Maximizing Mutual Information Between Prompt and Response Improves LLM Performance With No Additional Data
Hyunji (Alex) Nam, Haoran Li, Natasha Jaques
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Maximum Likelihood Reinforcement Learning
Fahim Tajwar, Guanning Zeng, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff Schneider, Russ Salakhutdinov, Haiwen Feng, Andrea Zanette
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Maximum-Likelihood Learning of Latent Dynamics Without Reconstruction
Samo Hromadka, Kai Biegun, Lior Fox, James Heald, Maneesh Sahani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MePo: Meta Post-Refinement for Rehearsal-Free General Continual Learning
Guanglong Sun, Hongwei Yan, Liyuan Wang, Zhiqi KANG, Shuang Cui, Hang Su, Jun Zhu, Yi Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models
An Zhao, Shengyuan Zhang, Zhongjian Sun, Yixiang Zhou, Zejian Li, Ling Yang, Tianrun Chen, Lingyun Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mean Flow Policy Optimization
Xiaoyi Dong, Xi Zhang, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mean-Shift PCA by Knockoff Mean
Mengda Li, Zeng Li, Jianfeng Yao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
Hyoseok Lee, Sohwi Lim, Eunju Cha, Tae-Hyun Oh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Measuring Intent Comprehension in LLMs
Nadav Kunievsky, James Evans
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Measuring Meta-Cultural Competency: A Spectral Framework for LLM Knowledge Structures
Sougata Saha, Madhur Jindal, Saurabh Kumar Pandey, Mahardika Ihsani, Alham Fikri Aji, Monojit Choudhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Measuring and Mitigating Post-Hoc Rationalization in Reverse Chain-of-Thought Generation
Guangyue Peng, Zongchao Chen, Wen Luo, Yuntao Wen, Wei Li, Ruixiang Feng, Ran Le, Chen Yang, Zhenwei An, Yang Song, Tao Zhang, Houfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
Qian Kou, Xiaofeng Shi, Yulin Li, Xiaosong Qiu, XinyangWang, Hua Zhou, Cao Dongxing
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mechanisms of Introspective Awareness
Uzay Macar, Li Yang, Atticus Wang, Peter Wallich, Emmanuel Ameisen, Jack Lindsey
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mechanistic Anomaly Detection via Functional Attribution
Hugo Lyons Keenan, Christopher Leckie, Sarah Erfani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
Maxime Méloux, François Portet, Maxime Peyrard
Machine Learning
日本大学: 関与なし（対象大学）