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Machine Learning

2025 · 3,330 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。

2025 · ICML
Maintaining Proportional Committees with Dynamic Candidate Sets
Chris Dong, Jannik Peters
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic
Eshika Saxena, Alberto Alfarano, Emily Wenger, Kristin E. Lauter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Mahir Labib Dihan, Md Tanvir Hassan, Md Tanvir Parvez, Md Hasebul Hasan, Md Almash Alam, Muhammad Aamir Cheema, Mohammed Eunus Ali, Md Rizwan Parvez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
Xialie Zhuang, Zhikai Jia, Jianjin Li, Zhenyu Zhang, Li Shen, Zheng Cao, Shiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
Machine Learning
日本大学: 東京科学大学
2025 · ICML
Masked Generative Nested Transformers with Decode Time Scaling
Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain, Sujoy Paul
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mastering Board Games by External and Internal Planning with Language Models
John Schultz, Jakub Adamek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Veličković, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer
Anqi Mao, Mehryar Mohri, Yutao Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
Mislav Balunovic, Jasper Dekoninck, Nikola Jovanović, Ivo Petrov, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
Gengshuo Chang, Wei Zhang, Lehan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Matryoshka Quantization
Pranav Ajit Nair, Puranjay Datta, Jeff Dean, Prateek Jain, Aditya Kusupati
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
Shanda Li, Shinjae Yoo, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization
Deyuan Liu, Zecheng Wang, Bingning Wang, Weipeng Chen, Chunshan Li, Zhiying Tu, Dianhui Chu, Dianbo Sui
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures
Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy Nguyen, David Woodruff, Peilin Zhong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Maximum Entropy Reinforcement Learning with Diffusion Policy
Xiaoyi Dong, Jian Cheng, Xi Sheryl Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Maximum Total Correlation Reinforcement Learning
Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Measuring Diversity in Synthetic Datasets
Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Measuring Diversity: Axioms and Challenges
Mikhail Mironov, Liudmila Prokhorenkova
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Measuring In-Context Computation Complexity via Hidden State Prediction
Vincent Herrmann, Róbert Csordás, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
Joonkyu Kim, Yejin Kim, Jy-Yong Sohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence
Joseph Paillard, Angel David Reyero Lobo, Vitaliy Kolodyazhniy, Bertrand Thirion, Denis-Alexander Engemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mechanisms of Projective Composition of Diffusion Models
Arwen Bradley, Preetum Nakkiran, David Berthelot, James Thornton, Joshua M. Susskind
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mechanistic PDE Networks for Discovery of Governing Equations
Adeel Pervez, Efstratios Gavves, Francesco Locatello
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
Phillip Huang Guo, Aaquib Syed, Abhay Sheshadri, Aidan Ewart, Gintare Karolina Dziugaite
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MedRAX: Medical Reasoning Agent for Chest X-ray
Adibvafa Fallahpour, Jun Ma, Alif Munim, Hongwei Lyu, Bo Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
Yuxin Zuo, Shang Qu, Yifei Li, Zhang-Ren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
Yue Dai, Liang Liu, Xulong Tang, Youtao Zhang, Jun Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Memorization Sinks: Isolating Memorization during LLM Training
Gaurav Rohit Ghosal, Pratyush Maini, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Memory Layers at Scale
Vincent-Pierre Berges, Barlas Oguz, Daniel Haziza, Wen-Tau Yih, Luke Zettlemoyer, Gargi Ghosh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
Juncheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
Kazuto Fukuchi
Machine Learning
日本大学: 筑波大学
2025 · ICML
Meta-Black-Box-Optimization through Offline Q-function Learning
Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding
Siyuan Xu, Minghui Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
Yaolun Zhang, Xiaogeng Liu, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Metadata Conditioning Accelerates Language Model Pre-training
Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation
Juno Kim, Denny Wu, Jason D. Lee, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · ICML
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
Muyang Cao, Jiajun Yu, Xin Du, Gang Pan, Wei Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng, Yuefeng Zhu, Fangyuan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo, Thomas L. Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mind the Gap: A Practical Attack on GGUF Quantization
Kazuki Egashira, Robin Staab, Mark Vero, Jingxuan He, Martin Vechev
Machine Learning
日本大学: 東京大学
2025 · ICML
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
Thiziri Nait Saada, Alireza Naderi, Jared Tanner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
Yuqin Dai, Zhouheng Yao, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang, Jiamin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MindCustomer: Multi-Context Image Generation Blended with Brain Signal
Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Zhitao Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Minerva: A Programmable Memory Test Benchmark for Language Models
Menglin Xia, Victor Rühle, Saravan Rajmohan, Reza Shokri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Minimalist Concept Erasure in Generative Models
Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr, Ashkan Khakzar, Johannes Stegmaier, Kenji Kawaguchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback
Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Ruosong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Minimum Width for Universal Approximation using Squashable Activation Functions
Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MiraGe: Editable 2D Images using Gaussian Splatting
Joanna Waczynska, Tomasz Szczepanik, Piotr Borycki, Slawomir Tadeja, Thomas Bohné, Przemysław Spurek
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
Tom Jacobs, Chao Zhou, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MissScore: High-Order Score Estimation in the Presence of Missing Data
Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke, Howard Bondell, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
Linxi Zhao, Yihe Deng, Weitong Zhang, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn
Hongyao Tang, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Glen Berseth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges
Shixi Qin, Zhiyong Yang, Shilong Bao, Shi Wang, Qianqian Xu, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MixMin: Finding Data Mixtures via Convex Minimization
Anvith Thudi, Evianne Rovers, Yangjun Ruan, Tristan Thrush, Chris J. Maddison
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mixed-curvature decision trees and random forests
Philippe Chlenski, Quentin Chu, Raiyan R. Khan, Kaizhu Du, Antonio Khalil Moretti, Itsik Pe’Er
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mixture of Experts Made Intrinsically Interpretable
Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schroeder De Witt, Puneet K. Dokania, Adel Bibi, Philip Torr
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning
Ryotaro Kawata, Kohsei Matsutani, Yuri Kinoshita, Naoki Nishikawa, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · ICML
Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer
Yilong Chen, Junyuan Shang, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu, Haifeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mixture of Lookup Experts
Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
Wei Li, Lujun Li, Hao Gu, You-Liang Huang, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance
Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Xu Chen, Zhihang Yuan, Sifan Zhou, Jiangyong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition
Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition
Yuhuan Yang, Chaofan Ma, Zhenjie Mao, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
Jing Han, Binwei Yan, Tianyu Guo, Zheyuan Bai, Mengyu Zheng, Hanting Chen, Ying Nie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Model Immunization from a Condition Number Perspective
Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws
Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Model Uncertainty Quantification by Conformal Prediction in Continual Learning
Rui Gao, Weiwei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Model-Based Exploration in Monitored Markov Decision Processes
Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
Minghao Xu, Jiaze Song, Keming Wu, Xiangxin Zhou, Bin Cui, Wentao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Models of Heavy-Tailed Mechanistic Universality
Liam Hodgkinson, Zhichao Wang, Michael W. Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li, Michael R. Metel, Akiko Takeda
Machine Learning
日本大学: 東京大学
2025 · ICML
Modular Duality in Deep Learning
Jeremy Bernstein, Laker Newhouse
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering
Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
Machine Learning
日本大学: 慶應義塾大学
2025 · ICML
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning
Wenjing Yan, Xiangyu Zhong, Xiaolu Wang, Ying-Jun Angela Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Monte Carlo Tree Diffusion for System 2 Planning
Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport
Tuan Quang Dam, Pascal Stenger, Lukas Schneider, Joni Pajarinen, Carlo D’Eramo, Odalric-Ambrym Maillard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions
Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
Chao Li, Jiawei Fan, Anbang Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost
Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits
Su Jia, Peter I. Frazier, Nathan Kallus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
Justin Lee, Behnaz Moradijamei, Heman Shakeri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Multi-Modal Object Re-identification via Sparse Mixture-of-Experts
Yingying Feng, Jie Li, Chi Xie, Lei Tan, Jiayi Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Multi-Objective Causal Bayesian Optimization
Shriya Bhatija, Paul-David Zuercher, Jakob Thumm, Thomas Bohné
Machine Learning
日本大学: 関与なし（対象大学）