ICLR

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 · 3,703 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
Linear Transformer Topological Masking with Graph Random Features
Isaac Reid, Kumar Dubey, Deepali Jain, William Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E Turner, René Wagner, Adrian Weller, Krzysztof Choromanski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Linear combinations of latents in generative models: subspaces and beyond
Erik Bodin, Alexandru Stere, Dragos Margineantu, Carl Ek, Henry Moss
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lines of Thought in Large Language Models
Raphaël Sarfati, Toni Liu, Nicolas Boulle, Christopher Earls
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lipschitz Bandits in Optimal Space
Xiaoyi Zhu, Zengfeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Sandha, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Naman Jain, Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content
Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat, Artavazd Maranjyan, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoLCATs: On Low-Rank Linearizing of Large Language Models
Michael Zhang, Simran Arora, Rahul Chalamala, Benjamin Spector, Alan Wu, Krithik Ramesh, Aaryan Singhal, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
Can Jin, Ying Li, Mingyu Zhao, Shiyu Zhao, Zhenting Wang, Xiaoxiao He, Ligong Han, Tong Che, Dimitris Metaxas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen, Si Si, Zhao Meng, Felix Yu, Venkata Sai Surya Subramanyam Duvvuri, Inderjit Dhillon, Cho-Jui Hsieh, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse, Fatih Porikli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models
Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
Satoki Ishikawa, Rio Yokota, Ryo Karakida
Machine Learning
日本大学: 東京科学大学
2025 · ICLR
Local Patterns Generalize Better for Novel Anomalies
Yalong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
Michael Crawshaw, Blake Woodworth, Mingrui Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
Sixin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-yao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Locality Alignment Improves Vision-Language Models
Ian Covert, Tony Sun, James Y Zou, Tatsunori Hashimoto
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Locality Sensitive Avatars From Video
Chunjin Song, Zhijie Wu, Shih-Yang Su, Bastian Wandt, Leonid Sigal, Helge Rhodin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Locality-aware Gaussian Compression for Fast and High-quality Rendering
Seungjoo Shin, Jaesik Park, Sunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Locally Connected Echo State Networks for Time Series Forecasting
Filip Matzner, František Mráz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
Kojiro Takeyama, Yimeng Liu, Misha Sra
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Logic-Logit: A Logic-Based Approach to Choice Modeling
Shuhan Zhang, Wendi Ren, Shuang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Logical Consistency of Large Language Models in Fact-Checking
Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Logically Consistent Language Models via Neuro-Symbolic Integration
Diego Calanzone, Stefano Teso, Antonio Vergari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Anton Xue, Avishree Khare, Rajeev Alur, Surbhi Goel, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long Context Compression with Activation Beacon
Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Arik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-Context Linear System Identification
Oğuz Kaan Yüksel, Mathieu Even, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-Sequence Recommendation Models Need Decoupled Embeddings
Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, QianLi, Xian Hu, Jie Jiang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
Jincheng Wang, Penny Karanasou, Pengyuan Wei, Elia Gatti, Diego Plasencia, Dimitrios Kanoulas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-horizon Visual Instruction Generation with Logic and Attribute Self-reflection
Yucheng Suo, Fan Ma, Kaixin Shen, Linchao Zhu, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho, Hongsin Lee, Changick Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Long-time asymptotics of noisy SVGD outside the population limit
Victor Priser, PASCAL BIANCHI, Adil Salim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
Yuhao Wu, Ming Shan Hee, Zhiqiang Hu, Roy Ka-Wei Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement
Zhifan Ye, Kejing Xia, Yonggan Fu, Xin Dong, Jihoon Hong, Xiangchi Yuan, Shizhe Diao, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Guanzheng Chen, Xin Li, Michael Qizhe Shieh, Lidong Bing
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Jim Fan, Yuke Zhu, Yao Lu, Song Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
Yushi Bai, Jiajie Zhang, Xin Lv, Linzhi Zheng, Siqi Zhu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Longhorn: State Space Models are Amortized Online Learners
Bo Liu, Rui Wang, Lemeng Wu, Yihao Feng, Peter Stone, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Look Before You Leap: Universal Emergent Mechanism for Retrieval in Language Models
Alexandre Variengien, Eric Winsor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets
Haoran He, Can Chang, Huazhe Xu, Ling Pan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Looking Backward: Streaming Video-to-Video Translation with Feature Banks
Feng Liang, Akio Kodaira, Chenfeng Xu, Masayoshi Tomizuka, Kurt Keutzer, Diana Marculescu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Looking Inward: Language Models Can Learn About Themselves by Introspection
Felix Jedidja Binder, James Chua, Tomek Korbak, Henry Sleight, John Hughes, Robert Long, Ethan Perez, Miles Turpin, Owain Evans
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning
Dingrong Wang, Krishna Neupane, Ervine Zheng, Qi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Looped Transformers for Length Generalization
Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency
Jianwen Jiang, Chao Liang, Jiaqi Yang, Gaojie Lin, Tianyun Zhong, Yanbo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Frank Zhengqing Wu, Berfin Simsek, François Ged
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lossy Compression with Pretrained Diffusion Models
jeremy vonderfecht, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Jing He, Haodong Li, Wei Yin, Yixun Liang, Leheng Li, Kaiqiang Zhou, Hongbo Zhang, Bingbing Liu, YINGCONG CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Dawid Rymarczyk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
Gao Peng, Le Zhuo, Dongyang Liu, DU, Xu Luo, Longtian Qiu, Yuhang Zhang, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xie, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, Tong He, HE, Junjun He, Yu Qiao, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder
Sehyeok Kang, Yongsik Lee, Gahee Kim, Song Chong, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions
Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, hua wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL
Claas Voelcker, Marcel Hussing, ERIC EATON, Amir-massoud Farahmand, Igor Gilitschenski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MADGEN: Mass-Spec attends to De Novo Molecular generation
Yinkai Wang, Xiaohui Chen, Liping Liu, Soha Hassoun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAESTRO: Masked Encoding Set Transformer with Self-Distillation
Matthew Lee, Jaesik Kim, Matei Ionita, Jonghyun Lee, Michelle McKeague, YONGHYUN NAM, Irene Khavin, Yidi Huang, Victoria Fang, Sokratis Apostolidis, Divij Mathew, Shwetank, Ajinkya Pattekar, Zahabia Rangwala, Amit Bar-Or, Benjamin Fensterheim, Benjamin Abramoff, Rennie Rhee, Damian Maseda, Allison Greenplate, John Wherry, Dokyoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu, Hongyang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
Leon Hetzel, Johanna Sommer, Bastian Rieck, Fabian Theis, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAI: A Multi-turn Aggregation-Iteration Model for Composed Image Retrieval
Yanzhe Chen, Zhiwen Yang, Jinglin Xu, Yuxin Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester, Ernst Roell, Daniel Bin Schmid, Mathieu Alain, Sergio Escalera, Carles Casacuberta, Bastian Rieck
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAP: Multi-Human-Value Alignment Palette
Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
Erle Zhu, Yadi Liu, Zhe Zhang, Xujun Li, JinZhou, Xinjie Yu, Minlie Huang, Hongning Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAST: model-agnostic sparsified training
Yury Demidovich, Grigory Malinovsky, Egor Shulgin, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
Renrui Zhang, Xinyu Wei, Dongzhi Jiang, Ziyu Guo, Yichi Zhang, Chengzhuo Tong, Jiaming Liu, Aojun Zhou, Shanghang Zhang, Gao Peng, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MCNC: Manifold-Constrained Reparameterization for Neural Compression
Chayne Thrash, Reed Andreas, Ali Abbasi, Parsa Nooralinejad, Soroush Abbasi Koohpayegani, Hamed Pirsiavash, Soheil Kolouri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation
Trung X. Pham, Tri Ton, Chang Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Ziyan Jiang, Wang Zhu, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MELODI: Exploring Memory Compression for Long Contexts
Yinpeng Chen, DeLesley Hutchins, Aren Jansen, Andrey Zhmoginov, David Racz, Jesper Andersen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
Yan Xie, Minrui Lv, Chen-Song Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MGDA Converges under Generalized Smoothness, Provably
Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
Jing Yang, Minyue Jiang, Sen Yang, Xiao Tan, Yingying Li, Errui Ding, Jingdong Wang, Hanli Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
Ziyu Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Haodong Duan, Conghui He, Yuanjun Xiong, Dahua Lin, Jiaqi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIND over Body: Adaptive Thinking using Dynamic Computation
Mrinal Mathur, Barak Pearlmutter, Sergey Plis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, Sanjeev Satheesh, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on 3D Point Clouds via Shape Model Construction
Hossein Resani, Behrooz Nasihatkon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
Jun Shern Chan, Neil Chowdhury, Oliver Jaffe, James Aung, Dane Sherburn, Evan Mays, Giulio Starace, Kevin Liu, Leon Maksin, Tejal Patwardhan, Aleksander Madry, Lilian Weng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
jiarui zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MLPs Learn In-Context on Regression and Classification Tasks
William Tong, Cengiz Pehlevan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MM-EMBED: UNIVERSAL MULTIMODAL RETRIEVAL WITH MULTIMODAL LLMS
Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation
Akio Hayakawa, Masato Ishii, Takashi Shibuya, Yuki Mitsufuji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
YiFan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
Machine Learning
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