Conferences · eligible papers

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。

  1. 2026 · ICLR

    UniHand: A Unified Model for Diverse Controlled 4D Hand Motion Modeling

    Zhihao Sun, Tong Wu, Ruirui Tu, Daoguo Dong, Zuxuan Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2026 · ICLR

    UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing

    Hao Tang, Chen-Wei Xie, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2026 · ICLR

    UniOD: A Universal Model for Outlier Detection across Diverse Domains

    Dazhi Fu, Jicong Fan

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2026 · ICLR

    UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs

    Hung-Yueh Chiang, Chi-Chih Chang, Yu-Chen Lu, Chien-Yu Lin, Kai-Chiang Wu, Mohamed Abdelfattah, Diana Marculescu

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2026 · ICLR

    UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity

    Jingbo Lin, Zhilu Zhang, Wenbo Li, Renjing Pei, Hang Xu, Hongzhi Zhang, Wangmeng Zuo

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2026 · ICLR

    UniSS: Unified Expressive Speech-to-Speech Translation with Your Voice

    Sitong Cheng, Bianweizhen, Xinsheng Wang, Ruibin Yuan, Jianyi Chen, Shunshun Yin, Yike Guo, Wei Xue

    Machine Learning

    日本大学: 関与なし(対象大学)

  7. 2026 · ICLR

    UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene Reconstruction

    Chen Shi, Shaoshuai Shi, Xiaoyang Lyu, Chunyang Liu, Kehua Sheng, Bo Zhang, Li Jiang

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2026 · ICLR

    UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking

    Bishoy Galoaa, Xiangyu Bai, Utsav Nandi, Sai Rangoju, Somaieh Amraee, Sarah Ostadabbas

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2026 · ICLR

    UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding

    Yueming Xu, Jiahui Zhang, Ze Huang, Yurui Chen, Yanpeng Zhou, Dave Chen, Yu-Jie Yuan, Pengxiang Xia, Guowei Huang, Xinyue Cai, Zhongang Qi, Xingyue Quan, Jianye Hao, Hang Xu, Li Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2026 · ICLR

    UniVideo: Unified Understanding, Generation, and Editing for Videos

    Cong Wei, Quande Liu, Zixuan Ye, Qiulin Wang, Xintao WANG, Pengfei Wan, Kun Gai, Wenhu Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2026 · ICLR

    Unified 3D Scene Understanding Through Physical World Modeling

    Wanhee Lee, Klemen Kotar, Rahul Venkatesh, Jared Watrous, Honglin Chen, Khai Loong Aw, Daniel Yamins

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2026 · ICLR

    Unified Analyses for Hierarchical Federated Learning: Topology Selection under Data Heterogeneity

    Ziyi Zhou, Yipeng Li, Xinchen Lyu

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2026 · ICLR

    Unified Biomolecular Trajectory Generation via Pretrained Variational Bridge

    Ziyang Yu, Wenbing Huang, Yang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2026 · ICLR

    Unified Brain Surface and Volume Registration

    Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann, Robin Magnet, Maks Ovsjanikov, Lilla Zollei, John Guttag, Bruce Fischl, Adrian Dalca

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2026 · ICLR

    Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process

    JIAYI CHEN, Wenxuan Song, Pengxiang Ding, Ziyang Zhou, Han Zhao, Barrett Tang, Donglin Wang, Haoang Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2026 · ICLR

    Unified In-Context Video Editing

    Zixuan Ye, Xuanhua He, Quande Liu, Qiulin Wang, Xintao WANG, Pengfei Wan, Di ZHANG, Kun Gai, Qifeng Chen, Wenhan Luo

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2026 · ICLR

    Unified Multi-Modal Interactive and Reactive 3D Motion Generation via Rectified Flow

    Prerit Gupta, Shourya Verma, Ananth Grama, Aniket Bera

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2026 · ICLR

    Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization

    Aurélien Bellet, Edwige Cyffers, Davide Frey, Romaric Gaudel, Dimitri Lerévérend, Francois Taiani

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2026 · ICLR

    Unified Vision-Language-Action Model

    Yuqi Wang, Xinghang Li, Wenxuan Wang, Junbo Zhang, Yingyan Li, Yuntao Chen, Xinlong Wang, Zhaoxiang Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2026 · ICLR

    Unified Vision–Language Modeling via Concept Space Alignment

    Yifu QIU, Paul-Ambroise Duquenne, Holger Schwenk

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2026 · ICLR

    Unified and Efficient Multi-view Clustering from Probabilistic Perspective

    Yalan Qin, Guorui Feng

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2026 · ICLR

    Uniform Discrete Diffusion with Metric Path for Video Generation

    Haoge Deng, Ting Pan, Fan Zhang, Yang Liu, Zhuoyan Luo, Yufeng Cui, Wenxuan Wang, Chunhua Shen, Shiguang Shan, Zhaoxiang Zhang, Xinlong Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2026 · ICLR

    Unifying Formal Explanations: A Complexity-Theoretic Perspective

    Shahaf Bassan, Xuanxiang Huang, Guy Katz

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2026 · ICLR

    Unifying Stable Optimization and Reference Regularization in RLHF

    Li He, Qiang Qu, He Zhao, Stephen Wan, Dadong Wang, Lina Yao, Tongliang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2026 · ICLR

    Universal Beta Splatting

    Rong Liu, Zhongpai Gao, Benjamin Planche, Meida Chen, Van Nguyen, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Yue Wang, Andrew Feng, Ziyan Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2026 · ICLR

    Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

    Nikita Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Koshelev, Aleksandr Korotin

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2026 · ICLR

    Universal Model Routing for Efficient LLM Inference

    Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Congchao Wang, Zifeng Wang, Alec Go, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2026 · ICLR

    Universal Multi-Domain Translation via Diffusion Routers

    Duc Kieu, Kien Do, Tuan Hoang, Thao Le, Tung Kieu, Dang Nguyen, Thin Nguyen

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2026 · ICLR

    Universal Properties of Activation Sparsity in Modern Large Language Models

    Filip Szatkowski, Patryk Będkowski, Alessio Devoto, Jan Dubiński, Pasquale Minervini, Mikolaj Piorczynski, Simone Scardapane, Bartosz Wójcik

    Machine Learning

    日本大学: 関与なし(対象大学)

  30. 2026 · ICLR

    Universal Value-Function Uncertainties

    Moritz Akiya Zanger, Max Weltevrede, Yaniv Oren, Pascal R Van der Vaart, Caroline Horsch, Wendelin Boehmer, Matthijs T. J. Spaan

    Machine Learning

    日本大学: 関与なし(対象大学)

  31. 2026 · ICLR

    Unlearning Evaluation through Subset Statistical Independence

    Chenhao Zhang, Muxing Li, Feng Liu, Weitong Chen, Miao Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2026 · ICLR

    Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs

    Yiwei Chen, Soumyadeep Pal, Yimeng Zhang, Qing Qu, Sijia Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2026 · ICLR

    Unlearning during Training: Domain-Specific Gradient Ascent for Domain Generalization

    Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2026 · ICLR

    Unleashing Guidance Without Classifiers for Human-Object Interaction Animation

    Ziyin Wang, Sirui Xu, chuan guo, Bing Zhou, Jiangshan Gong, Jian Wang, Yu-Xiong Wang, Liang-Yan Gui

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2026 · ICLR

    Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery

    Xinzhe Yuan, Zhuo Chen, Jianshu Zhang, Huan Xiong, Nanyang Ye, Yuqiang Li, Qinying Gu

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2026 · ICLR

    Unleashing Perception-Time Scaling to Multimodal Reasoning Models

    Yifan Li, Zhenghao Chen, Ziheng Wu, Kun Zhou, Ruipu Luo, Can Zhang, Zhentao he, Yufei Zhan, Xin Zhao, Minghui Qiu

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2026 · ICLR

    Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism

    Haoran Sun, Yankai Jiang, Zhenyu Tang, Yaning Pan, Shuang Gu, Zekai Lin, Lilong Wang, Wenjie Lou, Lei Liu, LEI BAI, Xiaosong Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2026 · ICLR

    Unlocking Full Efficiency of Token Filtering in Large Language Model Training

    Di Chai, LI Pengbo, Feiyuan Zhang, Yilun Jin, Han Tian, Kaiqiang Xu, Binhang Yuan, Dian Shen, Junxue Zhang, Kai Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2026 · ICLR

    Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL

    Jiaxuan Gao, Wei Fu, Minyang Xie, Shusheng Xu, Chuyi He, Zhiyu Mei, Banghua Zhu, Yi Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  40. 2026 · ICLR

    Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy Optimization

    Boyang Liu, Yifan Hu, Senjie Jin, Shihan Dou, Gonglei Shi, Jie Shao, Tao Gui, Xuanjing Huang

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2026 · ICLR

    Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression

    Valerii Parfenov, Nail Bashirov, Daniil Medyakov, Dmitry Bylinkin, Aleksandr Beznosikov

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2026 · ICLR

    Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label Classification

    Ming-Kun Xie, Zhiqiang Kou, Zhongnian Li, Gang Niu, Masashi Sugiyama

    Machine Learning

    日本大学: 東京大学

  43. 2026 · ICLR

    Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation

    Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2026 · ICLR

    Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting

    Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Guo, Bin Yang, Yang Shu

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2026 · ICLR

    Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models

    Anindya Sundar Das, Kangjie Chen, Monowar Bhuyan

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2026 · ICLR

    Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification

    Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2026 · ICLR

    Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework

    Nora Petrova, Andrew Gordon, Enzo Blindow

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2026 · ICLR

    Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

    Egor Cherepanov, Nikita Kachaev, Artem Zholus, Alexey Kovalev, Aleksandr Panov

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2026 · ICLR

    Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed Goals

    Octavio Pappalardo

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2026 · ICLR

    Unsupervised Representation Learning - an Invariant Risk Minimization Perspective

    Yotam Norman, Ron Meir

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2026 · ICLR

    Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives

    Amirhossein Zamani, Bruno Roy, Arianna Rampini

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2026 · ICLR

    Untraceable DeepFakes via Traceable Fingerprint Elimination

    Jiewei Lai, Lan Zhang, Chen Tang, Pengcheng Sun, Xinming Wang, YUNHAO WANG

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2026 · ICLR

    Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based Perspective

    Chengyin Xu, Kaiyuan Chen, Xiao Li, Ke Shen, Chenggang Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2026 · ICLR

    Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection

    Yao Xiao, Weiyan Chen, Jiahao Chen, Zijie Cao, Weijian Deng, Binbin Yang, ZiYi Dong, Xiangyang Ji, Wei Ke, Pengxu Wei, Liang Lin

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2026 · ICLR

    Unveiling Super Experts in Mixture-of-Experts Large Language Models

    Zunhai Su, Qingyuan Li, HaoZhang, Weihao Ye, Qibo Xue, Yulei Qian, Ngai Wong, Kehong Yuan

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2026 · ICLR

    Unveiling the Basin-Like Loss Landscape in Large Language Models

    Huanran Chen, Zeming Wei, Yao Huang, Yichi Zhang, Yinpeng Dong, Jun Zhu

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2026 · ICLR

    Unveiling the Cognitive Compass: Theory-of-Mind–Guided Multimodal Emotion Reasoning

    Meng Luo, Bobo Li, Shanqing Xu, Shize Zhang, Qiuchan Chen, Menglu Han, Wenhao Chen, Yanxiang Huang, Hao (Scofield) Fei, Mong-Li Lee, Wynne Hsu

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2026 · ICLR

    Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework

    Ruihua Chen, Yisi Luo, Bangyu Wu, Deyu Meng

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2026 · ICLR

    Unveiling the Potential of Diffusion Large Language Model in Controllable Generation

    Zhen Xiong, Yujun Cai, Zhecheng Li, Yiwei Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2026 · ICLR

    Urban Socio-Semantic Segmentation with Vision-Language Reasoning

    Yu Wang, Yi Wang, Rui Dai, Yujie Wang, Kaikui Liu, Xiangxiang Chu, Yansheng Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2026 · ICLR

    UrbanFeel:A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human Perspective

    Jun He, Yi Lin, Zilong Huang, Jiacong Yin, Junyan Ye, Yuchuan Zhou, Weijia Li, Xiang Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2026 · ICLR

    UrbanGS: Efficient and Scalable Architecture for Geometrically Accurate Large-Scene Reconstruction

    Changbai Li, Haodong Zhu, Hanlin Chen, Xiuping Liang, Tongfei Chen, Shuwei Shao, Linlin Yang, Huobin Tan, Baochang Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2026 · ICLR

    UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

    Weilin Xin, Chenyu Huang, Peilin Li, Jing Zhong, Jiawei Yao

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2026 · ICLR

    UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos

    Mingxuan Liu, Honglin He, Elisa Ricci, Wayne Wu, Bolei Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2026 · ICLR

    Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning

    Ahmed Hendawy, Henrik Metternich, Théo Vincent, Mahdi Kallel, Jan Peters, Carlo D Eramo

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2026 · ICLR

    Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions

    Jian-Qiao Zhu, Hanbo Xie, Dilip Arumugam, Robert Wilson, Thomas L. Griffiths

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2026 · ICLR

    Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation models

    Elias Chaibub Neto

    Machine Learning

    日本大学: 関与なし(対象大学)

  68. 2026 · ICLR

    V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction

    Yiming Zhao, Yu Zeng, Yukun Qi, YaoYang Liu, Xikun Bao, Lin Chen, Zehui Chen, Qing Miao, Chenxi Liu, Jie Zhao, Feng Zhao

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2026 · ICLR

    VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

    Bo Jiang, Shaoyu Chen, Hao Gao, Bencheng Liao, Qian Zhang, Wenyu Liu, Xinggang Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2026 · ICLR

    VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution

    Yixuan Zhu, Shilin Ma, Haolin Wang, Ao Li, Yanzhe Jing, Yansong Tang, Lei Chen, Jiwen Lu, Jie Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2026 · ICLR

    VCWorld: A Biological World Model for Virtual Cell Simulation

    Zhijian Wei, Runze Ma, Zichen Wang, Zhongmin Li, Shuotong Song, Shuangjia Zheng

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2026 · ICLR

    VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models

    Hefei Mei, Zirui Wang, Shen You, Minjing Dong, Chang Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2026 · ICLR

    VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing

    Yixiao Wang, Mingxiao Huo, Zhixuan Liang, Yushi Du, Lingfeng Sun, Haotian Lin, Jinghuan Shang, Chensheng Peng, Mohit Bansal, Mingyu Ding, Masayoshi Tomizuka

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2026 · ICLR

    VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate Logic

    Paapa Quansah, Pablo Rivas, Ernest Bonnah

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2026 · ICLR

    VERINA: Benchmarking Verifiable Code Generation

    Zhe Ye, Zhengxu Yan, Jingxuan He, Timothe Kasriel, Kaiyu Yang, Dawn Song

    Machine Learning

    日本大学: 関与なし(対象大学)

  76. 2026 · ICLR

    VFScale: Intrinsic Reasoning through Verifier-Free Test-time Scalable Diffusion Model

    Tao Zhang, Jia-Shu Pan, Ruiqi Feng, Tailin Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2026 · ICLR

    VGR: Visual Grounded Reasoning

    Jiacong Wang, Zijian Kang, Haochen Wang, Xiao Liang, Ya Wang, Jiawen Li, Bohong Wu, Jiao Ran, Haiyong Jiang, Chao Feng, Jun Xiao

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2026 · ICLR

    VINCIE: Unlocking In-context Image Editing from Video

    Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2026 · ICLR

    VIRTUE: Visual-Interactive Text-Image Universal Embedder

    Wei-Yao Wang, Kazuya Tateishi, Qiyu Wu, Shusuke Takahashi, Yuki Mitsufuji

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2026 · ICLR

    VITA: Vision-to-Action Flow Matching Policy

    Dechen Gao, BOQI ZHAO, Andrew Lee, Ian Chuang, Hanchu Zhou, Hang Wang, Zhe Zhao, Junshan Zhang, Iman Soltani

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2026 · ICLR

    VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision–Language Models

    Christos Ziakas, Alessandra Russo

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2026 · ICLR

    VL-JEPA: Joint Embedding Predictive Architecture for Vision-language

    Delong Chen, Mustafa Shukor, Théo Moutakanni, Willy Chung, Lei Yu, Tejaswi Kasarla, Allen Bolourchi, Yann LeCun, Pascale Fung

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2026 · ICLR

    VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation

    Huayi Zhou, Kui Jia

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2026 · ICLR

    VLM-Guided Adaptive Negative Prompting for Creative Generation

    shelly golan, Yotam Nitzan, Zongze Wu, Or Patashnik

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2026 · ICLR

    VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?

    Minkyu Kim, Sangheon Lee, Dongmin Park

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2026 · ICLR

    VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

    Jianke Zhang, Xiaoyu Chen, Yanjiang Guo, Yucheng Hu, Jianyu Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2026 · ICLR

    VLMgineer: Vision-Language Models as Robotic Toolsmiths

    George Gao, Tianyu Li, Junyao Shi, Yihan Li, Zizhe Zhang, Nadia Figueroa, Dinesh Jayaraman

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2026 · ICLR

    VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety

    Shruti Palaskar, Leon Gatys, Mona Abdelrahman, Mar Jacobo, Laurence Lindsey, Rutika Moharir, Gunnar Lund, Yang Xu, Navid Shiee, Jeffrey Bigham, Charles Maalouf, Joseph Cheng

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2026 · ICLR

    VMDiff: Visual Mixing Diffusion for Limitless Cross-Object Synthesis

    Zeren Xiong, Yue Yu, Ze-dong Zhang, Shuo Chen, Jian Yang, Jun Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2026 · ICLR

    VMoBA: Mixture-of-Block Attention for Video Diffusion Models

    Jianzong Wu, Liang Hou, Haotian Yang, Ye Tian, Pengfei Wan, Di ZHANG, Yunhai Tong

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2026 · ICLR

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    Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, YUEXIN LI, Shumin Deng, Lin Lu, Nay Oo, Shuicheng YAN, Bryan Hooi

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2026 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2026 · ICLR

    VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign Flip

    Wenqi Guo, Shan Du

    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2026 · ICLR

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    Mingyuan Wu, Jingcheng Yang, Jize Jiang, Meitang Li, Kaizhuo Yan, Hanchao Yu, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt

    Machine Learning

    日本大学: 関与なし(対象大学)

  95. 2026 · ICLR

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    Ziyi Wang, Zhi Gao, Boxuan Yu, Zirui Dai, Peiyao Wang, Yuxiang Song, Qingyuan Lu, Jin Chen, Xinxiao Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  96. 2026 · ICLR

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    Perry Dong, Chongyi Zheng, Chelsea Finn, Dorsa Sadigh, Benjamin Eysenbach

    Machine Learning

    日本大学: 関与なし(対象大学)

  97. 2026 · ICLR

    Value Matching: Scalable and Gradient-Free Reward-Guided Flow Adaptation

    Cristian Jensen, Luca Schaufelberger, Riccardo De Santi, Kjell Jorner, Andreas Krause

    Machine Learning

    日本大学: 関与なし(対象大学)

  98. 2026 · ICLR

    Variance-Dependent Regret Lower Bounds for Contextual Bandits

    Jiafan He, Quanquan Gu

    Machine Learning

    日本大学: 関与なし(対象大学)

  99. 2026 · ICLR

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    Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty

    Machine Learning

    日本大学: 関与なし(対象大学)

  100. 2026 · ICLR

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    Hao Qin, Yukai Sun, Meng Wang, Ming Kong, Mengxu Lu, Qiang Zhu

    Machine Learning

    日本大学: 関与なし(対象大学)