ICML

2022–2026 LIVE

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Machine Learning

2026 · 6,341 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 · ICML
Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unsupervised Hierarchical Skill Discovery
Damion Harvey, Geraud Nangue Tasse, Benjamin Rosman, Branden Ingram, Steven James
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unsupervised Neural Langevin Sampler for Mixed Integer Linear Programming
Yixin Huang, Shengyu Feng, Yiming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unsupervised Partner Design Enables Robust Ad-hoc Teamwork
Constantin Ruhdorfer, Matteo Bortoletto, Victor Oei, Anna Penzkofer, Andreas Bulling
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unsupervised Process-Aware Coreset Selection for In-Context Learning
Wei Zheng, Zijie Wang, Xin Li, Bin Gong, Yuqing Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking
Ravi Ghadia, Maksim Abraham, Sergei Vorobyov, Max Ryabinin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling And Addressing Dimensional Collapse In Vector Quantization Models Via Codebook Regularization
Fang Zhang, Yongxin Zhu, Yihao Liu, Bin Fu, Linli Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization
Yuxin Wang, Yuanzhe Hu, Xiaokun Zhong, Xiaopeng Wang, Haiquan Lu, Tianyu Pang, Michael Mahoney, Yujun Yan, Pu Ren, Yaoqing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling Prior-Data Fitted Networks on Causal Effect Estimation: Pre-Training or Fine-Tuning?
Haotian Wang, Xinpeng Lv, Hao Zou, Yanghao Xiao, Shanzhi Gu, Yang Shi, Yunxin Mao, Yuanxing Zhang, Mingyang Geng, Shaowu Yang, Haoxuan Li, Wenjing Yang, Peng Cui, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling the Entropy Dynamics of Chain-of-Thought Reasoning
TING XU, Xu He, Yupu Lu, Jiankai Sun, Dong Li, Wai Lam, Jianye Hao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction
Jatin Chhugani, Geonhwa Jeong, Bor-Yiing Su, Yunjie Pan, Hanmei Yang, Aayush Ankit, Jiecao Yu, Summer Deng, Yunqing Chen, Nadathur Satish, Changkyu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling the Role of Data Uncertainty in Tabular Deep Learning
Nikolay Kartashev, Ivan Rubachev, Artem Babenko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
Clément Yvernes, Emilie Devijver, Marianne Clausel, Eric Gaussier
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Unveiling the Visual Counting Bottleneck in Vision-Language Models
Xingzhou Pang, Yifan Hou, Junling Wang, Mrinmaya Sachan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Upper-Linearizability of Online Non-Monotone DR-Submodular Maximization over Down-Closed Convex Sets
Yiyang Lu, Hareshkumar Jadav, Mohammad Pedramfar, Ranveer Singh, Vaneet Aggarwal
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
Dominik J. Mühlematter, Lin Che, Ye Hong, Martin Raubal, Nina Wiedemann
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
UrbanMLLM: Joint Learning of Cross-view Imagery for Urban Understanding
Xin Zhang, Tianjian Ouyang, Yu Shang, Qingmin Liao, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Use What You Know: Causal Foundation Models with Partial Graphs
Arik Reuter, Anish Dhir, Cristiana Diaconu, Jake Robertson, Ole Ossen, Frank Hutter, Adrian Weller, Mark van der Wilk, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
User-Aware Active Knowledge Acquisition for Emotional Support Dialogue
Mufan Xu, Kehai Chen, Jiahao Hu, Xinchao Xu, Muyun Yang, Tiejun Zhao, Min zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Utility Boundary of Dataset Distillation: Scaling and Coverage Laws
Zhengquan Luo, Zhiqiang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Utonia: Toward One Encoder for All Point Clouds
Yujia Zhang, Xiaoyang Wu, Yunhan Yang, Xianzhe Fan, Han Li, Yuechen Zhang, Zehao Huang, Naiyan Wang, Hengshuang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
V-ABS: Action-Observer Driven Beam Search for Dynamic Visual Reasoning
Zhiwei Ning, Xuanang Gao, Jiaxi Cao, Gengming Zhang, Shengnan Ma, Wenwen Tong, Hanming Deng, JIE YANG, Wei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
V-LynX: Token Interface Alignment for Video+X LLMs
Jungin Park, Jiyoung Lee, Kwanghoon Sohn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
V1: Unifying Generation and Self-Verification for Parallel Reasoners
Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia (Shirley) Wu, Junxiong Wang, Alpay Ariyak, Qingyang Wu, Samir Khaki, Rishabh Tiwari, Long (Tony) Lian, Yucheng Lu, Boyi Li, Alane Suhr, Ben Athiwaratkun, Kurt Keutzer
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models
Woojin Kim, Sieun Hyeon, Jusang Oh, Jaeyoung Do
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation
Guotao Liang, Zhangcheng Wang, Chuang Wang, Juncheng Hu, Haitao Zhou, Junhua Liu, Jing Zhang, Dong Xu, Qian Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VBA: Vector Bundle Attention for Intrinsically Geometric Representation Learning
Shenglei Fang, Xianfang Sun, You Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
Xiaoyan Su, Peijie Dong, Zhenheng Tang, Song Tang, Yuyao Zhai, Kaitao Lin, Liang Chen, Gai Yuhang, Yuyu Luo, Qiang Wang, Xiaowen Chu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
David R Johnson, Alexander Sietsema, Rishabh Anand, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VELR: Efficient Video Reward Feedback via Ensemble Latent Reward Models
Liyu Zhang, Kehan Li, Tao Zhou, Zeyi Huang, Chao LI, Jiming Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
Guowei Guan, Yurong Hao, Jiaming Zhang, Tiantong Wu, Fuyao Zhang, Tianxiang Chen, Longtao Huang, Cyril Leung, Wei Yang Bryan Lim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models
Guangshuo Qin, Zhiteng Li, Zheng Chen, Weihang Zhang, Linghe Kong, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
Qilin Liao, Anamika Lochab, Ruqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VFMF: Dense Forecasting by Generating Foundation Model Features
Gabrijel Boduljak, Yushi Lan, Christian Rupprecht, Andrea Vedaldi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VGGT-Motion: Motion-Aware Calibration-Free Monocular SLAM for Long-Range Consistency
Zhuang Xiong, Chen Zhang, Qingshan Xu, Wenbing Tao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VIA-SD: Verification via Intra-Model Routing for Speculative Decoding
Yuchen Xian, Yang He, Yunqiu Xu, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VIBE: Disentangling Social Dynamics via Kinematics-Informed Variational Inference for Behavioral Emotion
Abhishek Pratap Singh, Vaibhav Singh, Deepak Kumar, Balasubramanian Raman
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VIP: Visual-guided Prompt Evolution for Efficient Dense Vision-Language Inference
Hao Zhu, Shuo Jin, Wenbin Liao, Jiayu Xiao, Yan Zhu, Siyue Yu, Feng Dai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
Xuyang Chen, Keyu Yan, Guojian Wang, Lin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VJEPA: Variational Joint Embedding Predictive Architectures as Probabilistic World Models
Yongchao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model
Wenhao Li, Xiu Su, Yichao Cao, Hongyan Xu, Xiaobo Xia, Shan You, Yi Chen, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models
Borong Zhang, Jiahao Li, Jiachen Shen, Yuhao Zhang, Yishuai Cai, Yuanpei Chen, Juntao Dai, Jiaming Ji, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VLANeXt: Recipes for Building Strong VLA Models
Xiao-Ming Wu, Bin Fan, Kang Liao, Jian-Jian Jiang, Runze Yang, Yihang Luo, Zhonghua Wu, Wei-Shi Zheng, Chen Change Loy
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model
Yanjiang Guo, Tony Lee, Lucy Xiaoyang Shi, Jianyu Chen, Percy Liang, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VLM-RobustBench: A Comprehensive Benchmark for Robustness of Vision-Language Models
Rohit Saxena, Alessandro Suglia, Pasquale Minervini
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
Xiaobin Hu, Enpu zuo, Lanping Hu, Kaiwen Yang, Dianshu Liao, Tianyi Zhang, Bo Yin, Yinsi Zhou, Shidong Pan, xiaoyu sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VR-Thinker: Boosting Multimodal Reward Models through Think with Image Reasoning
Qunzhong Wang, Jie Liu, Jiajun Liang, Yuanxing Zhang, Yilei Jiang, Yaozhi ZHENG, Xintao Wang, Pengfei Wan, Xiangyu Yue, Jiaheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VSCD: Video-based Scene Change Detection in Unaligned Scenes
Jiae Yoon, Ue-Hwan Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VT-Bench: A Unified Benchmark for Visual-Tabular Multi-Modal Learning
贾子怡, Zijian Cheng, Xinyue Zhang, Kun-Yang Yu, Zhi Zhou, Yu-Feng Li, Lan-Zhe Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Value Aggregation with Uncertainty in Online Decentralized MARL
Ziyue Chu, Leonardo Stella
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Value-as-Return: A Two-Stage Framework to Align on the Optimal Score Function
Shikun Sun, Shuo Huang, Yiding Chen, Wen Sun, Jia Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture – Bridging Predictive and Generative Self-Supervised Learning
Moritz Gögl, Christopher Yau
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variable Clustering via Distributionally Robust Nodewise Regression
Kaizheng Wang, Xiao Xu, Xun Yu Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variable-Length Tokenization via Learnable Global Merging for Diffusion Transformers
Dong Hoon Lee, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
Khang Luong, Nam Nguyen, Hoang Ta, Hung Tran-The, Tuan Dam
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variance-Reduced $(\varepsilon, \delta)-$Unlearning using Forget Set Gradients
Martin Van Waerebeke, Giovanni Neglia, Kevin Scaman, Marco Lorenzi, El-Mahdi El-Mhamdi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Adapter for Cross-modal Similarity Representation
WenZhang Wei, Zhipeng Gui, Dehua Peng, Tiandi Ye, Huayi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Bayesian Flow Network for Graph Generation
Yida Xiong, Jiameng Chen, Xiuwen Gong, Jia Wu, Shirui Pan, wenbin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Entropic Optimal Transport
Roman Dyachenko, Nikita Gushchin, Kirill Sokolov, Petr Mokrov, Evgeny Burnaev, Aleksandr Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Flow Maps: Make Some Noise for One-Step Conditional Generation
Abbas Mammadov, So Takao, Bohan Chen, Ricardo Baptista, Morteza Mardani, Yee-Whye Teh, Julius Berner
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Inference for Uncertain Optimal Transport via Sinkhorn Parametrization
Ananyapam De, Linus Bleistein, Anton Thielmann, Benjamin Säfken
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Learning for Insertion-based Generation
Yangtian Zhang, Zhe Wang, Arthur Gretton, ZHITAO YING, David van Dijk, Michalis Titsias, Jiaxin Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Learning of Disentangled Representations
Yuli Slavutsky, Ozgur Beker, David Blei, Bianca Dumitrascu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
Albus Li, Matthew Wicker
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational Speculative Decoding: Rethinking Draft Training from Token Likelihood to Sequence Acceptance
Xiandong Zou, Jianshu Li, Jing Huang, Pan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Variational inference via Gaussian interacting particles in the Bures-Wasserstein geometry
Giacomo Borghi, Jose Carrillo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VeRO: A Harness for Agents to Optimize Agents
Varun Ursekar, Apaar Shanker, Veronica Chatrath, Yuan Xue, Samuel Denton
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VecDesigner: Exploring Visual Guidance and Structural Consistency for Semantic Typography
Liu Yu, Xingjiao Wu, Ziang Liu, Jiabao Zhao, Daoguo Dong, Liang He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VecMol: Vector-Field Representations for 3D Molecule Generation
Yuchen Hua, Xingang Peng, Jianzhu Ma, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Vector Linking via Cross-Model Local Isometric Consistency
Ziying Chen, Yang Cao, He Sun, Beining Yang, Tianjian Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector Graphs
Chaokang Jiang, Desen Zhou, Jiuming Liu, Li Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Veda: Scalable Video Diffusion via Distilled Sparse Attention
Shihao Han, Hao Yang, Xiaofeng Mei, Xinting Hu, Yi Jiang, XIAOJUAN QI
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Vegas: Self-Speculative Decoding with Verification-Guided Sparse Attention
Yikang Yue, Yuqi Xue, Jian Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics
Yichen Gong, Zhuohan Cai, Sunhao Dai, Yuqi Zhou, Zhangxuan Gu, Changhua Meng, Shuheng Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Verbalized Bayesian Persuasion
Wenhao Li, Yue Lin, Yun Hua, Xiangfeng Wang, Bo Jin, Hongyuan Zha, Baoxiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Jiayi Zhang, Simon Yu, Derek Chong, Anthony Sicilia, Michael Tomz, Christopher Manning, Weiyan Shi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VeriSimpl: Robust Optimization Modeling from Natural Language using Simplification-based Verification
Sumaya Abdul Rahman, Seckhen Cuellar, Ghani Raissov, Mohammad Raza
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
David Boetius, Shahaf Bassan, Guy Katz, Stefan Leue, Tobias Sutter
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
Yoonjeon Kim, Doohyuk Jang, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Very Efficient Listwise Multimodal Reranking for Long Documents
Yiqun Sun, Pengfei Wei, Lawrence Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ViEEG: Hierarchical Visual Neural Representation for EEG Brain Decoding
Minxu Liu, Donghai Guan, Chuhang Zheng, Chunwei Tian, Jie Wen, Qi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models
Yuqi Liu, Liangyu Chen, Jiazhen Liu, Mingkang Zhu, Zhisheng Zhong, Bei Yu, Jiaya Jia
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
ViTok-v2: Scaling Native Resolution Autoencoders to 5 Billion Parameters
Philippe Hansen-Estruch, Jiahui Chen, Vivek Ramanujan, Orr Zohar, Markos Georgopoulos, Animesh Sinha, Ji Hou, Edgar Schönfeld, Felix Juefei-Xu, Sriram Vishwanath, Ali Thabet
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding
Zhihao He, Tieyuan Chen, Kangyu Wang, Ziran Qin, Yang Shao, Chaofan Gan, Shijie Li, Zuxuan Wu, Weiyao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-BCI: Bayesian Cognitive Integration of Self-Prior Hypotheses for Video Understanding
Xing Xi, Peixian Chen, Yu Qiu, Ronghua Luo, peilin tong, Jiahao Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-Based Optimal Transport for Feedback-Efficient Offline Preference-Based Reinforcement Learning
Minh-Tung Luu, Hwanhee Kim, Younghwan Lee, Chang D. Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
Yuan Xie, Tianshui Chen, Zheng Ge, Lionel Ni
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
Jiaze Li, Hao Yin, Haoran Xu, Boshen Xu, Wenhui Tan, Zewen He, Jianzhong Ju, Zhenbo Luo, Jian Luan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-SVD: Efficient Video Diffusion via Orthogonal Basis Composition
Zhang Wan, Yu Li, Tianze Huang, Haochen Li, Juan Cao, Sheng Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-in-the-Loop: Span-Grounded Long Video QA with Interleaved Reasoning
Chendong Wang, Donglin Bai, Yifan Yang, Xiao Jin, Anlan Zhang, Rui Wang, Shiqi Jiang, Yuqing Yang, Hao Wu, Qi Dai, Chong Luo, Ting Cao, Lili Qiu, Suman Banerjee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video-o3: Native Interleaved Clue Seeking for Long Video Multi-Hop Reasoning
Xiangyu Zeng, Zhiqiu Zhang, Yuhan Zhu, Xinhao Li, Zikang Wang, Changlian Ma, Qingyu Zhang, Zizheng Huang, Kun Ouyang, Tianxiang Jiang, Ziang Yan, Yi Wang, Hongjie Zhang, Yali Wang, Limin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining
Weimin Xiong, Shuhao Gu, Bowen Ye, Zihao Yue, Lei Li, Feifan Song, Sujian Li, Hao Tian
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding
Junbo Zou, Ziheng Huang, Shengjie Zhang, Liwen Zhang, Weining Shen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization
Andrei Atanov, Jesse Allardice, Roman Bachmann, Oğuzhan Fatih Kar, R Devon Hjelm, David Griffiths, Peter Fu, Amir Zamir, Afshin Dehghan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
Hongyang Du, Hongyang Du, Xiaoyan Cong, Runhao Li, Jingcheng Ni, Aman Agarwal, Zeqi Zhou, Zekun Li, Randall Balestriero, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
Lin Fu, Zheyuan Yang, Yang Wang, Tingyu Song, Arman Cohan, Yilun Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoLoom: A Video Large Language Model for Joint Spatial-Temporal Understanding
Jiapeng Shi, junke Wang, Zuyao You, Bo He, Zuxuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoMAETok: Boosting Video Diffusion Models via Masked Autoencoders as Tokenizers
Zhan Tong, Tinne Tuytelaars
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICML
VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority
Chenhao Qiu, Yechao Zhang, Xin Luo, Shien Song, Xusheng Liu
Machine Learning
日本大学: 関与なし（対象大学）