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
UniHand: A Unified Model for Diverse Controlled 4D Hand Motion ModelingZhihao Sun, Tong Wu, Ruirui Tu, Daoguo Dong, Zuxuan Wu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and EditingHao 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)
2026 · ICLR
UniOD: A Universal Model for Outlier Detection across Diverse DomainsDazhi Fu, Jicong Fan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMsHung-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)
2026 · ICLR
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityJingbo 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)
2026 · ICLR
UniSS: Unified Expressive Speech-to-Speech Translation with Your VoiceSitong 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)
2026 · ICLR
UniSplat: Unified Spatio-Temporal Fusion via 3D Latent Scaffolds for Dynamic Driving Scene ReconstructionChen 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)
2026 · ICLR
UniTrack: Differentiable Graph Representation Learning for Multi-Object TrackingBishoy 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)
2026 · ICLR
UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic EncodingYueming 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)
2026 · ICLR
UniVideo: Unified Understanding, Generation, and Editing for VideosCong 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)
2026 · ICLR
Unified 3D Scene Understanding Through Physical World ModelingWanhee 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)
2026 · ICLR
Unified Analyses for Hierarchical Federated Learning: Topology Selection under Data HeterogeneityZiyi Zhou, Yipeng Li, Xinchen Lyu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unified Biomolecular Trajectory Generation via Pretrained Variational BridgeZiyang Yu, Wenbing Huang, Yang Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unified Brain Surface and Volume RegistrationMazdak 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)
2026 · ICLR
Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion ProcessJIAYI 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)
2026 · ICLR
Unified In-Context Video EditingZixuan 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)
2026 · ICLR
Unified Multi-Modal Interactive and Reactive 3D Motion Generation via Rectified FlowPrerit Gupta, Shourya Verma, Ananth Grama, Aniket Bera
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unified Privacy Guarantees for Decentralized Learning via Matrix FactorizationAurélien 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)
2026 · ICLR
Unified Vision-Language-Action ModelYuqi 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)
2026 · ICLR
Unified Vision–Language Modeling via Concept Space AlignmentYifu QIU, Paul-Ambroise Duquenne, Holger Schwenk
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unified and Efficient Multi-view Clustering from Probabilistic PerspectiveYalan Qin, Guorui Feng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Uniform Discrete Diffusion with Metric Path for Video GenerationHaoge 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)
2026 · ICLR
Unifying Formal Explanations: A Complexity-Theoretic PerspectiveShahaf Bassan, Xuanxiang Huang, Guy Katz
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unifying Stable Optimization and Reference Regularization in RLHFLi 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)
2026 · ICLR
Universal Beta SplattingRong 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)
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)
2026 · ICLR
Universal Model Routing for Efficient LLM InferenceWittawat 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)
2026 · ICLR
Universal Multi-Domain Translation via Diffusion RoutersDuc 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)
2026 · ICLR
Universal Properties of Activation Sparsity in Modern Large Language ModelsFilip 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)
2026 · ICLR
Universal Value-Function UncertaintiesMoritz 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)
2026 · ICLR
Unlearning Evaluation through Subset Statistical IndependenceChenhao Zhang, Muxing Li, Feng Liu, Weitong Chen, Miao Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model OutputsYiwei Chen, Soumyadeep Pal, Yimeng Zhang, Qing Qu, Sijia Liu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unlearning during Training: Domain-Specific Gradient Ascent for Domain GeneralizationDi 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)
2026 · ICLR
Unleashing Guidance Without Classifiers for Human-Object Interaction AnimationZiyin 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)
2026 · ICLR
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific DiscoveryXinzhe 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)
2026 · ICLR
Unleashing Perception-Time Scaling to Multimodal Reasoning ModelsYifan 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)
2026 · ICLR
Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward MechanismHaoran 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)
2026 · ICLR
Unlocking Full Efficiency of Token Filtering in Large Language Model TrainingDi 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)
2026 · ICLR
Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RLJiaxuan 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)
2026 · ICLR
Unlocking the Essence of Beauty: Advanced Aesthetic Reasoning with Relative-Absolute Policy OptimizationBoyang 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)
2026 · ICLR
Unlocking the Potential of Weighting Methods in Federated Learning Through Communication CompressionValerii Parfenov, Nail Bashirov, Daniil Medyakov, Dmitry Bylinkin, Aleksandr Beznosikov
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unlocking the Power of Co-Occurrence in CLIP: A DualPrompt-Driven Method for Training-Free Zero-Shot Multi-Label ClassificationMing-Kun Xie, Zhiqiang Kou, Zhongnian Li, Gang Niu, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2026 · ICLR
Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to DeliberationZhiwei 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)
2026 · ICLR
Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series ForecastingSiyuan 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)
2026 · ICLR
Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language ModelsAnindya Sundar Das, Kangjie Chen, Monowar Bhuyan
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio ClassificationLukas 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)
2026 · ICLR
Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE FrameworkNora Petrova, Andrew Gordon, Enzo Blindow
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and EvaluationEgor Cherepanov, Nikita Kachaev, Artem Zholus, Alexey Kovalev, Aleksandr Panov
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unsupervised Learning of Efficient Exploration: Pre-training Adaptive Policies via Self-Imposed GoalsOctavio Pappalardo
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unsupervised Representation Learning - an Invariant Risk Minimization PerspectiveYotam Norman, Ron Meir
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility ObjectivesAmirhossein Zamani, Bruno Roy, Arianna Rampini
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Untraceable DeepFakes via Traceable Fingerprint EliminationJiewei 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)
2026 · ICLR
Unveiling Downstream Performance Scaling of LLMs: A Clustering-Based PerspectiveChengyin Xu, Kaiyuan Chen, Xiao Li, Ke Shen, Chenggang Li
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image DetectionYao 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)
2026 · ICLR
Unveiling Super Experts in Mixture-of-Experts Large Language ModelsZunhai 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)
2026 · ICLR
Unveiling the Basin-Like Loss Landscape in Large Language ModelsHuanran 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)
2026 · ICLR
Unveiling the Cognitive Compass: Theory-of-Mind–Guided Multimodal Emotion ReasoningMeng 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)
2026 · ICLR
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel FrameworkRuihua Chen, Yisi Luo, Bangyu Wu, Deyu Meng
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Unveiling the Potential of Diffusion Large Language Model in Controllable GenerationZhen Xiong, Yujun Cai, Zhecheng Li, Yiwei Wang
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Urban Socio-Semantic Segmentation with Vision-Language ReasoningYu 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)
2026 · ICLR
UrbanFeel:A Comprehensive Benchmark for Temporal and Perceptual Understanding of City Scenes through Human PerspectiveJun 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)
2026 · ICLR
UrbanGS: Efficient and Scalable Architecture for Geometrically Accurate Large-Scene ReconstructionChangbai 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)
2026 · ICLR
UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate PredictionWeilin Xin, Chenyu Huang, Peilin Li, Jing Zhong, Jiawei Yao
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
UrbanVerse: Scaling Urban Simulation by Watching City-Tour VideosMingxuan Liu, Honglin He, Elisa Ricci, Wayne Wu, Bolei Zhou
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Use the Online Network If You Can: Towards Fast and Stable Reinforcement LearningAhmed 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)
2026 · ICLR
Using Reinforcement Learning to Train Large Language Models to Explain Human DecisionsJian-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)
2026 · ICLR
Using maximal information auxiliary variables to improve synthetic data generation based on TabPFN foundation modelsElias Chaibub Neto
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model InteractionYiming 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)
2026 · ICLR
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic PlanningBo 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)
2026 · ICLR
VARestorer: One-Step VAR Distillation for Real-World Image Super-ResolutionYixuan 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)
2026 · ICLR
VCWorld: A Biological World Model for Virtual Cell SimulationZhijian 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)
2026 · ICLR
VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language ModelsHefei Mei, Zirui Wang, Shen You, Minjing Dong, Chang Xu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic RoutingYixiao 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)
2026 · ICLR
VERIFY: A Novel Multi-Domain Dataset Grounding LTL in Contextual Natural Language via Provable Intermediate LogicPaapa Quansah, Pablo Rivas, Ernest Bonnah
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VERINA: Benchmarking Verifiable Code GenerationZhe 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)
2026 · ICLR
VFScale: Intrinsic Reasoning through Verifier-Free Test-time Scalable Diffusion ModelTao Zhang, Jia-Shu Pan, Ruiqi Feng, Tailin Wu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VGR: Visual Grounded ReasoningJiacong 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)
2026 · ICLR
VINCIE: Unlocking In-context Image Editing from VideoLeigang 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)
2026 · ICLR
VIRTUE: Visual-Interactive Text-Image Universal EmbedderWei-Yao Wang, Kazuya Tateishi, Qiyu Wu, Shusuke Takahashi, Yuki Mitsufuji
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VITA: Vision-to-Action Flow Matching PolicyDechen 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)
2026 · ICLR
VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision–Language ModelsChristos Ziakas, Alessandra Russo
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VL-JEPA: Joint Embedding Predictive Architecture for Vision-languageDelong 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)
2026 · ICLR
VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic ManipulationHuayi Zhou, Kui Jia
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VLM-Guided Adaptive Negative Prompting for Creative Generationshelly golan, Yotam Nitzan, Zongze Wu, Or Patashnik
Machine Learning
日本大学: 関与なし(対象大学)
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)
2026 · ICLR
VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action ModelsJianke Zhang, Xiaoyu Chen, Yanjiang Guo, Yucheng Hu, Jianyu Chen
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VLMgineer: Vision-Language Models as Robotic ToolsmithsGeorge 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)
2026 · ICLR
VLSU: Mapping the Limits of Joint Multimodal Understanding for AI SafetyShruti 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)
2026 · ICLR
VMDiff: Visual Mixing Diffusion for Limitless Cross-Object SynthesisZeren 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)
2026 · ICLR
VMoBA: Mixture-of-Block Attention for Video Diffusion ModelsJianzong 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)
2026 · ICLR
VPI-Bench: Visual Prompt Injection Attacks for Computer-Use AgentsTri 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)
2026 · ICLR
VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual TokenizersXianghong Fang, Yuan Yuan, Dehan Kong, Tim G. J. Rudner
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VSF: Simple, Efficient, and Effective Negative Guidance in Few-Step Image Generation Models By Value Sign FlipWenqi Guo, Shan Du
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool UseMingyuan 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)
2026 · ICLR
VUDG: A Dataset for Video Understanding Domain GeneralizationZiyi 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)
2026 · ICLR
Value FlowsPerry Dong, Chongyi Zheng, Chelsea Finn, Dorsa Sadigh, Benjamin Eysenbach
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Value Matching: Scalable and Gradient-Free Reward-Guided Flow AdaptationCristian Jensen, Luca Schaufelberger, Riccardo De Santi, Kjell Jorner, Andreas Krause
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Variance-Dependent Regret Lower Bounds for Contextual BanditsJiafan He, Quanquan Gu
Machine Learning
日本大学: 関与なし(対象大学)
2026 · ICLR
Variation in Verification: Understanding Verification Dynamics in Large Language ModelsYefan 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)
2026 · ICLR
Variation-aware Flexible 3D Gaussian EditingHao 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)