ICML

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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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
Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models
Xiaoyu Wu, Jiaru Zhang, Steven Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Offline Data in Linear Latent Contextual Bandits
Chinmaya Kausik, Kevin Tan, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Per-Instance Privacy for Machine Unlearning
Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot, Eleni Triantafillou, Daniel M. Roy, Gintare Karolina Dziugaite
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Predictive Equivalence in Decision Trees
Hayden Mctavish, Zachery Boner, Jon Donnelly, Margo Seltzer, Cynthia Rudin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Andy Dong, Wei-Ning Chen, Ayfer Ozgur
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
Yunzhen Yao, Lie He, Michael Gastpar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
Junhyuck Kim, Jongho Park, Jaewoong Cho, Dimitris Papailiopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LieRE: Lie Rotational Positional Encodings
Sophie Ostmeier, Brian Axelrod, Maya Varma, Michael Moseley, Akshay S Chaudhari, Curtis Langlotz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Liger: Linearizing Large Language Models to Gated Recurrent Structures
Disen Lan, Weigao Sun, Jiaxi Hu, Jusen Du, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LightGTS: A Lightweight General Time Series Forecasting Model
Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
Khai Nguyen, Hai Nguyen, Tuan Pham, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
Yeseul Cho, Baekrok Shin, Changmin Kang, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L Lee, William Toner, Rajkarn Singh, Artjom Joosen, Martin Asenov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lightweight Protocols for Distributed Private Quantile Estimation
Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lightweight-Mark: Rethinking Deep Learning-Based Watermarking
Yupeng Qiu, Han Fang, Ee-Chien Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Limitations of measure-first protocols in quantum machine learning
Casper Gyurik, Riccardo Molteni, Vedran Dunjko
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LineFlow: A Framework to Learn Active Control of Production Lines
Kai Müller, Martin Wenzel, Tobias Windisch
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
Xinyu Liu, Zixuan Xie, Shangtong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, Min-Hwan Oh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linear Contextual Bandits With Interference
Yang Xu, Wenbin Lu, Rui Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries
Akira Ito, Masanori Yamada, Atsutoshi Kumagai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting
Jiecheng Lu, Shihao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge
Rahul Choudhary, Hanbaek Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LipsNet++: Unifying Filter and Controller into a Policy Network
Xujie Song, Liangfa Chen, Tong Liu, Wenxuan Wang, Yinuo Wang, Shentao Qin, Yinsong Ma, Jingliang Duan, Shengbo Eben Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail)
Junsu Kim, Jaeyeon Kim, Ernest K. Ryu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LoRA-Gen: Specializing Large Language Model via Online LoRA Generation
Yicheng Xiao, Lin Song, Rui Yang, Cheng Cheng, Yixiao Ge, Xiu Li, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
Yuanhe Zhang, Fanghui Liu, Yudong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Local Identifying Causal Relations in the Presence of Latent Variables
Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
Kyowoon Lee, Jaesik Choi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Local Pan-privacy for Federated Analytics
Vitaly Feldman, Audra Mcmillan, Guy N. Rothblum, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Locality Preserving Markovian Transition for Instance Retrieval
Jifei Luo, Wenzheng Wu, Hantao Yao, Lu Yu, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Tan, Hamid R. Rabiee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Logits are All We Need to Adapt Closed Models
Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Long-Form Speech Generation with Spoken Language Models
Se Jin Park, Julian Salazar, Aren Jansen, Keisuke Kinoshita, Yong Man Ro, Rj Skerry-Ryan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Long-Short Alignment for Effective Long-Context Modeling in LLMs
Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LongRoPE2: Near-Lossless LLM Context Window Scaling
Ning Shang, Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Looking Beyond the Top-1: Transformers Determine Top Tokens in Order
Daria Lioubashevski, Tomer M. Schlank, Gabriel Stanovsky, Ariel Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Loss Functions and Operators Generated by f-Divergences
Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression
Haotian Wu, Gongpu Chen, Pier Luigi Dragotti, Deniz Gunduz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Low-Rank Adapting Models for Sparse Autoencoders
Matthew Chen, Joshua Engels, Max Tegmark
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Low-Rank Thinning
Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
Max Van Spengler, Pascal Mettes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
Zikai Zhou, Qizheng Zhang, Hermann Kumbong, Kunle Olukotun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Alireza Amiri Bavandpour, Xinting Huang, Mark Rofin, Michael Hahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality
Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
M+: Extending MemoryLLM with Scalable Long-Term Memory
Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian Mcauley, Dan Gutfreund, Rogerio Feris, Zexue He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation
Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture
Hongyang Lei, Xiaolong Cheng, Qi Qin, Dan Wang, Huazhen Huang, Qingqing Gu, Yetao Wu, Luo Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
Ruida Wang, Rui Pan, Yuxin Li, Jipeng Zhang, Yizhen Jia, Shizhe Diao, Renjie Pi, Junjie Hu, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces
Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning
Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MARGE: Improving Math Reasoning with Guided Exploration
Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MARS: Unleashing the Power of Variance Reduction for Training Large Models
Huizhuo Yuan, Yifeng Liu, Shuang Wu, Zhou Xun, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities against Hard Perturbations
Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MATS: An Audio Language Model under Text-only Supervision
Wen Wang, Ruibing Hou, Hong Chang, Shiguang Shan, Xilin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MCU: An Evaluation Framework for Open-Ended Game Agents
Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models
Zihao Xu, Dawei Xu, Zihan Li, Chuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
Suning Huang, Zheyu Aqa Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs
Tommaso Mencattini, Robert Adrian Minut, Donato Crisostomi, Andrea Santilli, Emanuele Rodolà
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training
Yang Luo, Zangwei Zheng, Ziheng Qin, Zirui Zhu, Yong Liu, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann, Dongxia Wu, Germano Heinzelmann, Michael K Gilson, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A Chan Santiago, Praveen Tirupattur, Gaurav Kumar Nayak, Gaowen Liu, Mubarak Shah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MIB: A Mechanistic Interpretability Benchmark
Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction
Yeyun Chen, Jiangming Shi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification
Tianchi Xing, Bonan Li, Congying Han, Xinmin Qiu, Zicheng Zhang, Tiande Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES
Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk, Randall Balestriero, Bin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning
Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanwei Li, Yu Qi, Xinyan Chen, Liuhui Wang, Jianhan Jin, Claire Guo, Shen Yan, Bo Zhang, Chaoyou Fu, Peng Gao, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention
Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding
Zhicheng Zhang, Wuyou Xia, Chenxi Zhao, Zhou Yan, Xiaoqiang Liu, Yongjie Zhu, Wenyu Qin, Pengfei Wan, Di Zhang, Jufeng Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification
Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit S, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
Sebastian Farquhar, Vikrant Varma, David Lindner, David Elson, Caleb Biddulph, Ian Goodfellow, Rohin Shah
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
Jingfeng Zhang, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex Kot
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MTSTRec: Multimodal Time-Aligned Shared Token Recommender
Ming-Yi Hong, Yen-Jung Hsu, Miao-Chen Chiang, Che Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections
Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition
Wang Ning, Zekun Li, Tongxin Bai, Man Yao, Zhen Qin, Guoqi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics
Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
Jesse He, Helen Jenne, Herman Chau, Davis Brown, Mark Raugas, Sara C. Billey, Henry Kvinge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Mahalanobis++: Improving OOD Detection via Feature Normalization
Maximilian Müller, Matthias Hein
Machine Learning
日本大学: 関与なし（対象大学）