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
MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection
Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning
Jinhua Zhang, Wei Long, Minghao Han, Weiyi You, Shuhang Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
Minjung Shin, Hyunin Cho, Sooyeon Go, Jin-Hwa Kim, Youngjung Uh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MVR: Multi-view Video Reward Shaping for Reinforcement Learning
Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li
Machine Learning
日本大学: 京都大学
2026 · ICLR
MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention
Gang Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Machine Unlearning under Retain–Forget Entanglement
JINGPU CHENG, Ping Liu, Qianxiao Li, CHI ZHANG
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy
Zeju LI, Jianyuan Zhong, Ziyang Zheng, Xiangyu Wen, Zhijian Xu, Yingying Cheng, Fan Zhang, Qiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Making, Not Taking, the Best of N
Ammar Khairi, Daniel Dsouza, Marzieh Fadaee, Julia Kreutzer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mamba-3: Improved Sequence Modeling using State Space Principles
Aakash Sunil Lahoti, Kevin Li, Berlin Chen, Caitlin Wang, Aviv Bick, Zico Kolter, Tri Dao, Albert Gu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MambaSL: Exploring Single-Layer Mamba for Time Series Classification
Yoo-Min Jung, Leekyung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MambaVoiceCloning: Efficient and Expressive Text-to-Speech via State-Space Modeling and Diffusion Control
Sahil Kumar, Namrataben Patel, Honggang Wang, Youshan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs
Adi Simhi, Jonathan Herzig, Martin Tutek, Itay Itzhak, Idan Szpektor, Yonatan Belinkov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting
Tingxuan Huang, Haowei Zhu, Jun-Hai Yong, Hao Pan, Bin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ManipEvalAgent: Promptable and Efficient Evaluation Framework for Robotic Manipulation Policies
Yiteng Chen, Huiping Zhuang, Wenbo Li, Shiyi Wang, Xiangyu Zhao, Qingyao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
Minghuan Liu, Zhengbang Zhu, Xiaoshen Han, PengHu, Haotong Lin, Xinyao Li, Jingxiao Chen, Jiafeng Xu, Yichu Yang, Yunfeng Lin, Xinghang Li, Yong Yu, Weinan Zhang, Tao Kong, Bingyi Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Many Eyes, One Mind: Temporal Multi-Perspective and Progressive Distillation for Spiking Neural Networks
Kai Sun, Peibo Duan, Yongsheng Huang, Nanxu Gong, Levin Kuhlmann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks
Ruibin Li, Tao Yang, Yangming Shi, Weiguo Feng, Shilei Wen, BINGYUE PENG, Lei Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Map as a Prompt: Learning Multi-Modal Spatial-Signal Foundation Models for Cross-scenario Wireless Localization
Yong Chu, Xun Zhou, Zenglin Xu, HUI WANG, Yue Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
Minji Kim, Taekyung Kim, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mapping Overlaps in Benchmarks through Perplexity in the Wild
Siyang Wu, Honglin Bao, Sida Li, Ari Holtzman, James Evans
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mapping Post-Training Forgetting in Language Models at Scale
Jackson Harmon, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mapping Semantic & Syntactic Relationships with Geometric Rotation
Michael Freenor, Lauren Alvarez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
Kacper Kapusniak, Cristian Gabellini, Michael Bronstein, Prudencio Tossou, Francesco Di Giovanni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Market Games for Generative Models: Equilibria, Welfare, and Strategic Entry
Xiukun Wei, Min Shi, Xueru Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Markovian Transformers for Informative Language Modeling
Scott Viteri, Max Lamparth, Peter Chatain, Clark Barrett
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MaskCO: Masked Generation Drives Effective Representation Learning and Exploiting for Combinatorial Optimization
Lvda Chen, Yang Li, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MaskInversion: Localized Embeddings via Optimization of Explainability Maps
Walid Bousselham, Sofian Chaybouti, Christian Rupprecht, Vittorio Ferrari, Hilde Kuehne
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MaskPro: Linear-Space Probabilistic Learning for Strict (N:M)-Sparsity on LLMs
Yan Sun, Qixin ZHANG, Zhiyuan Yu, Xikun Zhang, Li Shen, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Masked Generative Policy for Robotic Control
Lipeng Zhuang, Shiyu Fan, Florent P Audonnet, Yingdong Ru, Edmond S. L. Ho, Gerardo Aragon-Camarasa, Paul Henderson
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Masked Skill Token Training for Hierarchical Off-Dynamics Transfer
Zeyu Feng, Haiyan Yin, Yew-Soon Ong, Harold Soh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
Chaofan Gan, Zicheng Zhao, Yuanpeng Tu, Xi Chen, Ziran Qin, Tieyuan Chen, Mehrtash Harandi, Weiyao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Massive Editing for Large Language Models Based on Dynamic Weight Generation
Wentao Wan, Qiqing Lao, Zhiwei Xie, Hefeng Wu, Runnan Lin, Liang Lin, Keze Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Zhimin Chen, Chenyu Zhao, Ka Mo, Yunjiang Jiang, Jane Lee, KHUSHHALL CHANDRA MAHAJAN, Ning Jiang, Kai Ren, Charlie Li, Wen-Yun Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Master Skill Learning with Policy-Grounded Synergy of LLM-based Reward Shaping and Exploring
Yanbin Chang, Junfan Lin, Jie Jiang, Runhao Zeng, Changxin Huang, Jianqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mastering Sparse CUDA Generation through Pretrained Models and Deep Reinforcement Learning
Yaoyu Wang, Hankun Dai, Zhidong Yang, Junmin Xiao, Guangming Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interatomic Potentials
Yuanchang Zhou, Siyu Hu, Xiangyu Zhang, Hongyu Wang, Guangming Tan, Weile Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Matched Data, Better Models: Target Aligned Data Filtering with Sparse Autoencoders
Arnav Das, Gantavya Bhatt, Sahil Verma, Yiping Wang, Viswa Virinchi Muppirala, Jeff Bilmes
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning
Antoine Bergerault, Volkan Cevher, Negar Mehr
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Matching without Group Barrier for Heterogeneous Treatment Effect Estimation
Yuguang Yan, Haolin Yang, Shihao Zhang, Weilin Chen, Ruichu Cai, Zhifeng Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs
Yanpeng Sun, Shan Zhang, Wei Tang, Aotian Chen, Piotr Koniusz, Kai Zou, Yuan Xue, Anton Hengel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Xin Xu, Mengdi Zhang, Jian Shao, Yueting Zhuang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Shaden Alshammari, Kevin Wen, Abrar Zainal, Mark Hamilton, Navid Safaei, Albarakati, William Freeman, Antonio Torralba
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mathesis: Towards Formal Theorem Proving from Natural Languages
Xuejun Yu, Jianyuan Zhong, Zijin Feng, Pengyi Zhai, Roozbeh Mohit, Wei Ng, Haoxiong Liu, Ziyi Shou, Jing Xiong, Yudong Zhou, Claudia Ong, Austen Sugiarto, Yaoxi Zhang, Wai Ming Tai, Huan Cao, Dongcai Lu, Jiacheng Sun, Qiang Xu, Shen Xin, Zhenguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Matting Anything 2: Towards Video Matting for Anything
Chenyi Zhang, Yiheng Lin, Yunchao Wei, Hongsong Wang, Caifeng Shan, Fang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Maximizing Asynchronicity in Event-based Neural Networks
Haiqing Hao, Nikola Zubic, Weihua He, Zhipeng Sui, Davide Scaramuzza, Wenhui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Maximizing Incremental Information Entropy for Contrastive Learning
Jiansong Zhang, Zhuoqin Yang, Xu Wu, Xiaoling Luo, Peizhong Liu, Linlin Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MeSH: Memory-as-State-Highways for Recursive Transformers
Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, Jiaang Li, Rujiao Long, Ziheng Chen, Yuchi Xu, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mean Estimation from Coarse Data: Characterizations and Efficient Algorithms
Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis, Felix Zhou, Ziyu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
Guojian Zhan, Letian Tao, Pengcheng Wang, Yixiao Wang, Yuxin Chen, Yiheng Li, Hongyang Li, Masayoshi Tomizuka, Shengbo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
Huanlin Gao, Ping Chen, Fuyuan Shi, Ruijia Wu, Li YanTao, Qiang Hui, Youyuren, Ting Lu, Chao Tan, Shaoan Zhao, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measure Twice, Cut Once: A Semantic-Oriented Approach to Video Temporal Localization with Video LLMs
Zongshang Pang, Mayu Otani, Yuta Nakashima
Machine Learning
日本大学: 大阪大学
2026 · ICLR
Measurement Score-Based Diffusion Model
Chicago Y. Park, Shirin Shoushtari, Hongyu An, Ulugbek Kamilov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
Haolin He, Xingjian Du, Renhe Sun, Zheqi Dai, Yujia Xiao, Mingru Yang, Jiayi Zhou, Xiquan Li, Zhengxi Liu, Zining Liang, Chunyat Wu, Qianhua He, Tan Lee, Xie Chen, Wei-Long Zheng, Weiqiang Wang, Mark D. Plumbley, Jian Liu, Qiuqiang Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measuring LLM Novelty As The Frontier Of Original And High-Quality Output
Vishakh Padmakumar, Chen Yueh-Han, Jane Pan, Valerie Chen, He He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
Xinjie Shen, Mufei Li, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measuring Uncertainty Calibration
Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian, Juan Elenter, Francesco Tonolini, David Gustafsson, Eva Garcia-Martin, Carmen Gonzalez, Raphaëlle Bertrand-Lalo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions
Maojia Song, Tej Deep Pala, Ruiwen Zhou, Weisheng Jin, Amir Zadeh, Chuan Li, Dorien Herremans, Soujanya Poria
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Measuring the Intrinsic Dimension of Earth Representations
Arjun Rao, Marc Rußwurm, Konstantin Klemmer, Esther Rolf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mechanism of Task-oriented Information Removal in In-context Learning
Hakaze Cho, Haolin Yang, Gouki Minegishi, Naoya Inoue
Machine Learning
日本大学: 北陸先端科学技術大学院大学 / 東京大学
2026 · ICLR
Mechanistic Detection and Mitigation of Hallucination in Large Reasoning Models
Zhongxiang Sun, Qipeng Wang, Haoyu Wang, Xiao Zhang, Jun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Stefan Matthes, Zhiwei Han, Hao Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic Workflow
Ziyue Wang, Junde Wu, Linghan Cai, Chang Low, Xihong Yang, Qiaxuan Li, Yueming Jin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Zifeng Wang, Xiangru Tang, Hang Wu, May Dongmei Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Xin Liu, Carl Yang, Yang Xie, Wenqi Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MedAraBench: Large-scale Arabic Medical Question Answering Dataset and Benchmark
Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, Dana Samad, Mariam Al-Omari, Jihad Mallat, Khaled Saleh, Nizar Habash, Farah Shamout
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning
Xueming Fu, Fenghe Tang, Rongsheng Wang, Yingtai Li, Lixia Han, Jian Lu, Zihang Jiang, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MedLesionVQA: A Multimodal Benchmark Emulating Clinical Visual Diagnosis for Body Surface Health
Deli Yu, Shengzhi Wang, Kai WU, Xiaozhong Ji, Bo Cui, Jieqiong Cao, Huichao Wang, Boyuan Jiang, Xu Wang, Qian Xu, ChaoGao, Yi Zhao, Dian Chen, Meng Li, Haifeng Wu, Yijun He, HaiHuaYang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning
Zheng Jiang, Heng Guo, Chengyu Fang, Changchen Xiao, Xinyang Hu, Lifeng Sun, Minfeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Medical Interpretability and Knowledge Maps of Large Language Models
Razvan Marinescu, Victoria-Elisabeth Gruber, Diego Fajardo Vargas
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Medical thinking with multiple images
Zonghai Yao, Benlu Wang, Yifan Zhang, Junda Wang, Iris Xia, Zhipeng Tang, Shuo Han, Feiyun, Zhichao Yang, Arman Cohan, Hong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
Guibin Zhang, Muxin Fu, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memba: Membrane-driven Parameter-Efficient Fine-Tuning for Mamba
Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Membership Inference Attacks Against Fine-tuned Diffusion Language Models
Yuetian Chen, Kaiyuan Zhang, Yuntao Du, Edoardo Stoppa, Charles Fleming, Ashish Kundu, Bruno Ribeiro, Ninghui Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Membership Privacy Risks of Sharpness Aware Minimization
Young In Kim, Andrea Agiollo, Pratiksha Agrawal, Johannes Royset, Rajiv Khanna
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memento: Toward an All-Day Proactive Assistant for Ultra-Long Streaming Video
Hongxiang Jiang, Zengrui Ge, Guo Chen, Qixiong Wang, Jile Jiao, Xuetao Feng, Yuan Wang, Yan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memorization Through the Lens of Sample Gradients
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memorizing Long-tail Data Can Help Generalization Through Composition
Mo Zhou, Haoyang Ma, Rong Ge
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
Egor Cherepanov, Nikita Kachaev, Alexey Kovalev, Aleksandr Panov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memory-Free Continual Learning with Null Space Adaptation for Zero-Shot Vision-Language Models
Yujin Jo, Taesup Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization
Haoran Li, Jingfeng Wu, Vladimir Braverman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents
Yiming Du, Baojun Wang, Yifan Xiang, Zhaowei Wang, Wenyu Huang, Boyang XUE, Bin Liang, Xingshan Zeng, Fei Mi, Haoli Bai, Lifeng Shang, J Pan, Yuxin Jiang, Kam-Fai Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
Hao Shi, Bin Xie, Yingfei Liu, Lin Sun, Fengrong Liu, Tiancai Wang, Erjin Zhou, Haoqiang Fan, Xiangyu Zhang, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MergOPT: A Merge-Aware Optimizer for Robust Model Merging
Enneng Yang, Qun Yang, Peng Wang, Anke Tang, Guibing Guo, Xiaochun Cao, Li Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Merge before Forget: A Single LoRA Continual Learning via Continual Merging
Fuli Qiao, Mehrdad Mahdavi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
Xin Jin, Siyuan Li, Siyong Jian, Kai Yu, Huan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MergePRAG: Orthogonal Merging of Passage-experts for Multi-hop Parametric RAG
Xuebing Liu, Shanbao Qiao, Roseline Nyange, Dongwook Min, Hyun Kim, Seung-Hoon Na
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MergeTune: Continued Fine-Tuning of Vision-Language Models
Wenqing Wang, Da Li, Xiatian Zhu, Josef Kittler
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Guillaume Lajoie, Rif A. Saurous, Charlotte Frenkel, Razvan Pascanu, Blaise Aguera y Arcas, Joao Sacramento
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mesh Splatting for End-to-end Multiview Surface Reconstruction
Ruiqi Zhang, Jiacheng Wu, Jie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering
Akash Gupta, Amos Storkey, Mirella Lapata
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Meta-Learning Theory-Informed Inductive Biases using Deep Kernel Gaussian Processes
Bahti Zakirov, Gasper Tkacik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Meta-RL Induces Exploration in Language Agents
Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbic
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Meta-Router: Bridging Gold-standard and Preference-based Evaluations in LLM Routing
Yichi Zhang, Fangzheng Xie, Shu Yang, Chong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Meta-UCF: Unified Task-Conditioned LoRA Generation for Continual Learning in Large Language Models
ShiLin Xiao, Tianxiang Xu, Canran Xiao, Weihao Luo, Liwei Hou, Chuangxin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites
Zhenxin Lei, Zhangwei Gao, Changyao Tian, Erfei Cui, Guanzhou Chen, Danni Yang, Yuchen Duan, Zhaokai Wang, Wenhao Li, Weiyun Wang, Xiangyu Zhao, Jiayi Ji, Yu Qiao, Wenhai Wang, Gen Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Zilin Xiao, Qi Ma, Mengting Gu, Chun-cheng Chen, Xintao Chen, Vicente Ordonez, Vijai Mohan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MetaMuse: Algorithm Generation via Creative Ideation
Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Yan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
Zhenyu Pan, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
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