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
Metric $k$-clustering using only Weak Comparison Oracles
Rahul Raychaudhury, Aryan Esmailpour, sainyam galhotra, Stavros Sintos
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure
Jiale Kang, Qingyu Yin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Micro-Macro Coupled Koopman Modeling on Graph for Traffic Flow Prediction
Bairan Xiang, Chenguang Zhao, Huan Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models
Yujie Feng, Jian Li, Zhihan Zhou, Pengfei Xu, Yujia Zhang, xiaoyu li, Xiaohui Zhou, Alan Zhao, Xi Chen, Xiao-Ming Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MicroMix: Efficient Mixed-Precision Quantization with Microscaling Formats for Large Language Models
Wenyuan Liu, Haoqian Meng, Yilun Luo, Peng Zhang, Xindian Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation
Rongsheng Wang, Minghao Wu, Hongru Zhou, Zhihan Yu, Zhenyang Cai, Junying Chen, Wang Benyou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
Christopher Hoang, Mengye Ren
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MindMix: A Multimodal Foundation Model for Auditory Perception Decoding via Deep Neural-Acoustic Alignment
RUI LIU, Zhige Chen, Pengshu, Wenlong You, Zhi-An Huang, Jibin Wu, KC Tan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MindPilot: Closed-loop Visual Stimulation Optimization for Brain Modulation with EEG-guided Diffusion
Dongyang Li, Kunpeng Xie, Mingyang Wu, Yiwei Kong, Jiahua Tang, Haoyang Qin, Chen Wei, Quanying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mini-cluster Guided Long-tailed Deep Clustering
Zhixin Li, Yuheng Jia, Guanliang Chen, Hui LIU, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
Xin Lai, Junyi Li, Wei Li, Tao Liu, Tianjian Li, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Minimax Optimal Adversarial Reinforcement Learning
Yudan Wang, Kaiyi Ji, Ming Shi, Shaofeng Zou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
Shai Zucker, Xiong Wang, Fei Lu, Inbar Seroussi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Minimax Sample Complexity of Graph Neural Networks: Lower Bounds and Structural Effects
Ahmad Ghasemi, Hossein Pishro-Nik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Minimax-Optimal Aggregation for Density Ratio Estimation
Lukas Gruber, Markus Holzleitner, Sepp Hochreiter, Werner Zellinger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
Chaewon Moon, Dongkuk Si, Chulhee Yun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mirage or Method? How Model–Task Alignment Induces Divergent RL Conclusions
Haoze Wu, Cheng Wang, Wenshuo Zhao, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
Yunrui Guan, Krishna Balasubramanian, Shiqian Ma
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
Erfan Shayegani, G M Shahariar, Sara Abdali, Lei Yu, Nael Abu-Ghazaleh, Yue Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Missingness Bias Calibration in Feature Attribution Explanations
Shailesh Sridhar, Anton Xue, Eric Wong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Hallucination in Vision-Language Model with Depth and Spatial-aware Key-Value Refinement
Gusang Lee, Soohyun Kim, Donghoon Kim, Kyuhong Shim, Byonghyo Shim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Mismatch within Reference-based Preference Optimization
Suqin Yuan, Xingrui Yu, Jiyang Zheng, Lei Feng, Dadong Wang, Ivor Tsang, Tongliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Noise Shift in Denoising Generative Models with Noise Awareness Guidance
Jincheng Zhong, Boyuan Jiang, Xin Tao, Pengfei Wan, Kun Gai, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Privacy Risk via Forget Set-Free Unlearning
Aviraj Newatia, Michael Cooper, Viet Nguyen, Rahul G. Krishnan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
Anh Bui, Thuy-Trang Vu, Trung Le, Junae Kim, Tamas Abraham, Rollin Omari, Amardeep Kaur, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
Sungho Jo, Seonghwi Kim, Minwoo Chae
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating the Curse of Detail: Scaling Arguments for Feature Learning and Sample Complexity
Noa Rubin, Orit Davidovich, Zohar Ringel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization
Yifan Niu, Han Xiao, Dongyi Liu, Nuo Chen, Jia Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules
Chenyu Zhou, Xiaoming Shi, Hui Qiu, Yankai Jiang, ShaoGuo Liu, Tingting Gao, Haitao Leng, Xiawu Zheng, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MixLinear: Extreme Low Resource Multivariate Time Series Forecasting with $0.1K$ Parameters
Aitian Ma, Dongsheng Luo, Mo Sha
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixed-Curvature Tree-Sliced Wasserstein Distance
Duy-Tung Pham, Viet-Hoang Tran, Thieu Vo, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixing Importance with Diversity: Joint Optimization for KV Cache Compression in Large Vision-Language Models
Xuyang Liu, Xiyan Gui, Yuchao Zhang, Linfeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
Yoav Gur-Arieh, Mor Geva, Atticus Geiger
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization
Badr AlKhamissi, C. De Sabbata, Greta Tuckute, Zeming Chen, Martin Schrimpf, Antoine Bosselut
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixture of Contexts for Long Video Generation
Shengqu Cai, Ceyuan Yang, Lvmin Zhang, Yuwei Guo, Junfei Xiao, Ziyan Yang, Yinghao Xu, Zhenheng Yang, Alan Yuille, Leonidas Guibas, Maneesh Agrawala, Lu Jiang, Gordon Wetzstein
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
Daniel Shao, Joel Runevic, Richard Chen, Drew Williamson, Ahrong Kim, Andrew Song, Faisal Mahmood
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource
Houyi Li, Ka Man Lo, Shijie Xuyang, Ziqi Wang, Wenzhen Zheng, Haocheng Zhang, Zhao Li, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning
Zejun Li, Yingxiu Zhao, Jiwen Zhang, Siyuan Wang, Yang Yao, Runzhou Zhao, Jun Song, Bo Zheng, zhongyu wei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics
Boxuan Zhang, Weipu Zhang, Zhaohan Feng, Wei Xiao, Jian Sun, Jie Chen, Gang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MnemoDyn: Learning Resting State Dynamics from $40$K FMRI sequences
Sourav Pal, Viet Luong, Hoseok Lee, Tingting Dan, Guorong Wu, Richard Davidson, Won Hwa Kim, Vikas Singh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models
Aritra Bhowmik, Denis Korzhenkov, Cees G Snoek, Amirhossein Habibian, Mohsen Ghafoorian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs
Xiaodong Chen, Mingming Ha, Zhenzhong Lan, Jing Zhang, Jianguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoCa: Modeling Object Consistency for 3D Camera Control in Video Generation
Zhijing Cheng, Xuancheng Zhang, Donglin Di, Chen Wei, Hao Li, Xun Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoDr: Mixture-of-Depth-Recurrent Transformers for Test-Time Reasoning
Xiaojing Zhang, Haifeng Wu, Gang He, Jiyang Shen, Bochen Lyu, Zhanxing Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
In-Hwan Jin, Hyeongju Mun, Joonsoo Kim, Kugjin Yun, Kyeongbo Kong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs
Yupu Gu, Rongzhe Wei, Andy Zhu, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation
Weinan Jia, Yuning Lu, Mengqi Huang, Hualiang Wang, Binyuan Huang, Nan Chen, weihao zhou, Jidong Jiang, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoGen: Detailed Neuronal Morphology Generation via Point Cloud Flow Matching
Franz Rieger, Jan-Matthis Lueckmann, Viren Jain, Michal Januszewski
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context
Guocong Li, Jinjian Zhang, Ping Wang, Dongnan Liu, Tian Liang, Qiuyi Qi, Hao Huang, Siyan Guo, Mutian Bao, Wei Zhou, Linjian Mo, Hongxia Xu, JIAN Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoM: Linear Sequence Modeling with Mixture-of-Memories
Jusen Du, Weigao Sun, Disen Lan, Jiaxi Hu, Zhang Tao, Yu Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoMa: A Simple Modular Learning Framework for Material Property Prediction
Botian Wang, Yawen Ouyang, Yaohui Li, Mianzhi Pan, yuanhang tang, Haorui Cui, Yiqun Wang, Jianbing Zhang, Xiaonan Wang, Wei-Ying Ma, Hao Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation
Chengshu Li, Mengdi Xu, Arpit Bahety, Hang Yin, Yunfan Jiang, Huang Huang, Josiah Wong, Sujay Garlanka, Cem Gokmen, Ruohan Zhang, Weiyu Liu, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoNE: Replacing Redundant Experts with Lightweight Novices for Structured Pruning of MoE
Geng Zhang, Han Yuxuan, Yuxuan Lou, Yiqi Zhang, Wangbo Zhao, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition
Shu Zhao, Nilesh Ahuja, Tan Yu, Tianyi Shen, Vijaykrishnan Narayanan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale
Ya Wen, Jixuan Cai, Qiyao Ma, Linyan Li, Xinhuan Chen, Chris Webster, Yulun Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
Yu Ying Chiu, Michael Lee, Rachel Calcott, Brandon Handoko, Paul de Font-Reaulx, Paula Rodriguez, Chen Bo Calvin Zhang, Ziwen Han, Udari Sehwag, Yash Maurya, Christina Knight, Harry Lloyd, Florence Bacus, Mantas Mazeika, Bing Liu, Yejin Choi, Mitchell Gordon, Sydney Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoSA: Mosaic Shared Adaptation of Large Language Models
Xiequn Wang, Zhan ZHUANG, Shengda Luo, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling
Haoyu Wang, Hao Tang, Donglin Di, Zhilu Zhang, Wangmeng Zuo, Feng Gao, Siwei Ma, Shiliang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
Zhenyan Lu, Daliang Xu, Dongqi Cai, Zexi Li, WEI LIU, Jian Luan, Fangming Liu, Shangguang Wang, Mengwei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mobile-GS: Real-time Gaussian Splatting for Mobile Devices
Xiaobiao Du, Yida Wang, Kun Zhan, Xin Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning
huang kun, Weikai Xu, Yuxuan Liu, Quandong Wang, Pengzhi Gao, WEI LIU, Jian Luan, Bin Wang, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments
JUNYONG AHN, Hyeongrok Han, Bong Gyun Kang, Jisoo Mok, Byunghan Lee, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
Changsheng Zhao, Ernie Chang, Zechun Liu, Chia-Jung Chang, Wei Wen, Chen Lai, Sheng Cao, Yuandong Tian, Raghuraman Krishnamoorthi, Yangyang Shi, Vikas Chandra
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
Yifan Xu, Xiao Liu, Xinghan Liu, Jiaqi Fu, Jiayu Huang, Hanchen Zhang, Bohao Jing, Shudan Zhang, Yuting Wang, Zhao wenyi, Yuxiao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter
Weizhi Zhong, Huan Yang, Zheng Liu, Huiguo He, Zijian He, Xuesong Niu, Di ZHANG, Guanbin Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Modal Aphasia: Can Unified Multimodal Models Describe Images From Memory?
Michael Aerni, Joshua Swanson, Kristina Nikolić, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds
Wei Wu, Xiaomeng Fan, Yuwei Wu, Zhi Gao, Pengxiang Li, Yunde Jia, Mehrtash Harandi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Modality-free Graph In-context Alignment
Wei Zhuo, Siqiang Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mode-conditioning unlocks superior test-time compute scaling
Chen Wu, Sachin Goyal, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
Kwanyoung Kim, Sanghyun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
Yan Scholten, Sophie Xhonneux, Leo Schwinn, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Model Predictive Adversarial Imitation Learning for Planning from Observation
Tyler Han, Yanda Bao, Bhaumik Mehta, Gabriel Guo, Sanghun Jung, Anubhav Vishwakarma, Emily Kang, Rosario Scalise, Jason Zhou, Bryan Xu, Byron Boots
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Model-Guided Microstimulation Steers Primate Visual Behavior
Johannes Mehrer, Ben Lonnqvist, Anna Mitola, Paolo Papale, Martin Schrimpf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
Zhongjian Qiao, Jiafei Lyu, Boxiang Lyu, Yao Shu, Siyang Gao, Shuang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Modeling Interference for Treatment Effect Estimation in Network Dynamic Environment
Qiang Huang, Jin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Modeling Others' Minds as Code
Kunal Jha, Aydan Huang, Eric Ye, Natasha Jaques, Max Kleiman-Weiner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Modeling the Density of Pixel-level Self-supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT
Mikhail Goncharov, Eugenia Soboleva, Daniil Ignatyev, Mariia Donskova, Mikhail Belyaev, Ivan Oseledets, Marina Munkhoeva, Maxim Panov
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
Yuanxin Zhuang, Dazhong Shen, Ying Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
Feiyang Cai, Jiahui Bai, Tao Tang, Guijuan He, Joshua Luo, Tianyu Zhu, Srikanth Pilla, Gang Li, Ling Liu, Feng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs
Christoph Bartmann, Johannes Schimunek, Mykyta Ielanskyi, Philipp Seidl, Günter Klambauer, Sohvi Luukkonen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning
Yuanchen Ju, Yongyuan Liang, Yen-Jen Wang, Gireesh Nandiraju, Yuanliang Ju, Seungjae (Jay) Lee, Qiao Gu, Elvis Hsieh, Furong Huang, Koushil Sreenath
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Monitoring Decomposition Attacks with Lightweight Sequential Monitors
Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mono4DGS-HDR: High Dynamic Range 4D Gaussian Splatting from Alternating-exposure Monocular Videos
Jinfeng Liu, Lingtong Kong, Mi Zhou, Jinwei Chen, Dan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Monocular Normal Estimation via Shading Sequence Estimation
Zongrui Li, Xinhua Ma, Minghui HU, Yunqing Zhao, Yingchen Yu, Qian Zheng, Chang Liu, Jiang Xudong, Song Bai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
Ruichen Luo, Sebastian Stich, Krishnendu Chatterjee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Mordal: Automated Pretrained Model Selection for Vision Language Models
Shiqi He, Insu Jang, Mosharaf Chowdhury
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences
Chung Park, Hyeongjun Yun, Taesan Kim, Junui Hong, Dongjoon Hong, Mira Myong, Jihoon Oh, MinCheol Cho, Kijung Park, Min Choi, Jihwan Seok, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Fabian Waschkowski, Lukas Wesemann, Peter Tu, Jing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening
Wooseok Jeon, Seunghyun Shin, Dongmin Shin, Hae-Gon Jeon
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Motion-Aligned Word Embeddings for Text-to-Motion Generation
Ke Han, Yueming Lyu, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL Binding
Runqi Ouyang, Haoyun Li, Zhenyuan Zhang, Xiaofeng Wang, Zeyu Zhang, Zheng Zhu, Guan Huang, Sirui Han, Xingang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MotionGPT3: Human Motion as a Second Modality
Bingfan Zhu, Biao Jiang, Sunyi Wang, SHIXIANG TANG, Tao Chen, Linjie Luo, Youyi Zheng, Xin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs
Yipeng Du, Tiehan Fan, Kepan Nan, Rui Xie, Penghao Zhou, Xiang Li, Jian Yang, Zhenheng Yang, Ying Tai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MotionStream: Real-Time Video Generation with Interactive Motion Controls
Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Shechtman, Xun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
Xirui Hu, Yanbo Ding, Jiahao Wang, Tingting Shi, Yali Wang, Guo Zhi, Weizhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
Xu Zhang, Ruijie Quan, Wenguan Wang, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Moving Beyond Medical Exams: A Clinician-Annotated Fairness Dataset of Real-World Tasks and Ambiguity in Mental Healthcare
Max Lamparth, Declan Grabb, Amy Franks, Scott Gershan, Kaitlyn Kunstman, Aaron Lulla, Monika Roots, Manu Sharma, Aryan Shrivastava, Nina Vasan, Colleen Waickman
Machine Learning
日本大学: 関与なし（対象大学）
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