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Machine Learning

2025 · 3,703 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 · ICLR
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge
yuntao du, Kailin Jiang, Zhi Gao, Chenrui Shi, Zilong Zheng, Siyuan Qi, Qing Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions
Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura, Yue Zhang
Machine Learning
日本大学: 東京科学大学 / 東京大学
2025 · ICLR
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Donggon Jang, Yucheol Cho, Suin Lee, Taehyeon Kim, DAE SHIK KIM
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen, Zhiwu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines
Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, jiayi lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Gao Peng, Yu Liu, Chunyuan Li, Hongsheng Li
Machine Learning
日本大学: 東北大学
2025 · ICLR
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzemiński, Genta Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çağatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafał Poświata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Harries, Loïc Magne, Isabelle Mohr, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Mariya Hendriksen, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lu, Jordan Clive, Gayatri K, Maksimova Anna, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Wang, Lijuan Wang, Xin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Y Zou, Huaxiu Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
Nayoung Kim, Seongsu Kim, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection
Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MP-Mat: A 3D-and-Instance-Aware Human Matting and Editing Framework with Multiplane Representation
Siyi Jiao, Wenzheng Zeng, Yerong Li, Huayu Zhang, Changxin Gao, Nong Sang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations
Shaochen Zhong, Yifan (Louie) Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, shuai xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Ben Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun (Violet) Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance
Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, Hao Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model
Xuehao Wang, Zhan ZHUANG, Feiyang YE, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
Pei Wang, Yanan Wu, Zekun Wang, JIAHENG LIU, Xiaoshuai Song, Z.Y. Peng, ken deng, Chenchen Zhang, JiakaiWang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, wenbo su, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah Smith, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MVTokenFlow: High-quality 4D Content Generation using Multiview Token Flow
Hanzhuo Huang, Yuan Liu, Ge Zheng, Jiepeng Wang, Zhiyang Dou, Sibei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
M^3PC: Test-time Model Predictive Control using Pretrained Masked Trajectory Model
Kehan Wen, Yutong Hu, Yao Mu, Lei Ke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk, Jimmy Di, Yiwei Lu, Gautam Kamath, Ayush Sekhari, Seth Neel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Machine Unlearning via Simulated Oracle Matching
Kristian G Georgiev, Roy Rinberg, Sam Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MaestroMotif: Skill Design from Artificial Intelligence Feedback
Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian Yen, Avner May, Tianqi Chen, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MagicPIG: LSH Sampling for Efficient LLM Generation
Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Leon Bottou, Zhihao Jia, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie Su, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
Chongjie Si, Xuehui Wang, Xue Yang, Zhengqin Xu, Qingyun Li, Jifeng Dai, Yu Qiao, Xiaokang Yang, Wei Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew Saxe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Making Text Embedders Few-Shot Learners
Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Making Transformer Decoders Better Differentiable Indexers
Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yun Yu, Yang Song, Han Li, Kun Gai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
Haoxian Chen, Hanyang Zhao, Henry Lam, David Yao, Wenpin Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
Hongyu Ke, Jack Morris, Kentaro Oguchi, Xiaofei Cao, Yongkang Liu, Haoxin Wang, Yi Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MamKO: Mamba-based Koopman operator for modeling and predictive control
Zhaoyang Li, Minghao Han, Xunyuan Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba
Seyedarmin Azizi, Souvik Kundu, Mohammad Sadeghi, Massoud Pedram
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura, Teruaki Hayashi, Yota Maeda
Machine Learning
日本大学: 慶應義塾大学
2025 · ICLR
MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods
Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, XUCHEN, Sifan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
Arth Shukla, Stone Tao, Hao Su
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling
Yuzhe YAO, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang, Guang Dai, Jingdong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
Enrico Ventura, Beatrice Achilli, Gianluigi Silvestri, Carlo Lucibello, Luca Ambrogioni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Many-Objective Multi-Solution Transport
Ziyue Li, Tian Li, Virginia Smith, Jeff Bilmes, Tianyi Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang XU, Jiang Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mask in the Mirror: Implicit Sparsification
Tom Jacobs, Rebekka Burkholz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu, Ruihong Zeng, Haotian Guo, Jiachen Zheng, Qiang Zhang, Xueyao Zhang, Shunsi Zhang, Zhizheng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling
Kaiwen Zheng, Yongxin Chen, Hanzi Mao, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
Yufan Zhou, Zhaobo Qi, Lingshuai Lin, Junqi Jing, Tingting Chai, Beichen Zhang, Shuhui Wang, Weigang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mastering Task Arithmetic: $\tau$Jp as a Key Indicator for Weight Disentanglement
Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryosuke Yamaki, Ryotaro Shimizu, Yuki Saito, Julian McAuley, Hiroki Naganuma
Machine Learning
日本大学: 東京科学大学 / 立命館大学
2025 · ICLR
MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
Qianggang Ding, Santiago Miret, Bang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical Code
Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
Andreas Opedal, Haruki Shirakami, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Matrix Product Sketching via Coordinated Sampling
Majid Daliri, Juliana Freire, Danrong Li, Christopher Musco
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Matryoshka Multimodal Models
Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, TianQi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Matérn Kernels for Tunable Implicit Surface Reconstruction
Maximilian Weiherer, Bernhard Egger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
Carlo Abate, Filippo Maria Bianchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Bhavya, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Reda Alami, Ahmed Alzubaidi, Hakim Hacid
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
McEval: Massively Multilingual Code Evaluation
Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, JinKe, JIAHENG LIU, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Zekun Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhaoxiang Zhang, Zhoujun Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Measuring And Improving Engagement of Text-to-Image Generation Models
Varun Khurana, Yaman Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Measuring And Improving Persuasiveness Of Large Language Models
SOMESH SINGH, Yaman Singla, Harini S I, Balaji Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Michael Aerni, Javier Rando, Edoardo Debenedetti, Nicholas Carlini, Daphne Ippolito, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Maojia Song, Shang Hong Sim, Rishabh Bhardwaj, Hai Leong Chieu, Navonil Majumder, Soujanya Poria
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Measuring memorization in RLHF for code completion
Jamie Hayes, I Shumailov, Billy Porter, Aneesh Pappu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformers
Tiberiu Mușat
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mechanistic Permutability: Match Features Across Layers
Nikita Balagansky, Ian Maksimov, Daniil Gavrilov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Y Zou, Cihang Xie, Yuyin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
Yudong Chen, Xuwei Xu, Frank de Hoog, Jiajun Liu, Sen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng YAN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Memory Efficient Transformer Adapter for Dense Predictions
Dong Zhang, Rui Yan, Pingcheng Dong, Kwang-Ting Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Memory Mosaics
Jianyu Zhang, Niklas Nolte, Ranajoy Sadhukhan, Beidi Chen, Leon Bottou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
Ziyu Zhao, tao shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
Yiwen Chen, Tong He, Di Huang, Weicai Ye, Sijin Chen, Jiaxiang Tang, Zhongang Cai, Lei Yang, Gang Yu, Guosheng Lin, Chi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
Paul Garnier, Vincent Lannelongue, Jonathan Viquerat, Elie Hachem
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
Lazar Atanackovic, Xi (Nicole) Zhang, Brandon Amos, Mathieu Blanchette, Leo J Lee, Yoshua Bengio, Alexander Tong, Kirill Neklyudov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Meta-Continual Learning of Neural Fields
Seungyoon Woo, Junhyeog Yun, Gunhee Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Meta-Dynamical State Space Models for Integrative Neural Data Analysis
Ayesha Vermani, Josue Nassar, Hyungju Jeon, Matthew Dowling, Il Memming Park
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Jingdong Sun, Qi He, Wangmeng Xiang, Hanyuan Chen, Jin-Peng Lan, Xianhui Lin, kang zhu, Bin Luo, Yifeng Geng, Xuansong Xie, Alexander G Hauptmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences
Genta Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Wijaya
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MetaOOD: Automatic Selection of OOD Detection Models
Yuehan Qin, Yichi Zhang, Yi Nian, Xueying Ding, Yue Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
Wayne Wu, Honglin He, Jack He, Yiran Wang, Chenda Duan, Zhizheng Liu, Quanyi Li, Bolei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Metalic: Meta-Learning In-Context with Protein Language Models
Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas Barrett, Juan Jose Garau-Luis, Paul Duckworth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Metamizer: A Versatile Neural Optimizer for Fast and Accurate Physics Simulations
Nils Wandel, Stefan Schulz, Reinhard Klein
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
Jingwei Xu, Junyu Lai, Yunpeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
Eduard Gorbunov, Nazarii Tupitsa, Sayantan Choudhury, Alen Aliev, Peter Richtarik, Samuel Horváth, Martin Takáč
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky, Samuel Horváth, Martin Takáč, Peter Richtarik, Eduard Gorbunov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Metric-Driven Attributions for Vision Transformers
Chase Walker, Sumit Jha, Rickard Ewetz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
Emanuel Sommer, Jakob Robnik, Giorgi Nozadze, Uros Seljak, David Rügamer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Vullikanti, Sheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
Oleh Kolner, Thomas Ortner, Stanisław Woźniak, Angeliki Pantazi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Yuda Song, Hanlin Zhang, Carson Eisenach, Sham Kakade, Dean Foster, Udaya Ghai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher
Zehui Chen, Kuikun Liu, Qiuchen Wang, Jiangning Liu, Wenwei Zhang, Kai Chen, Feng Zhao
Machine Learning
日本大学: 関与なし（対象大学）