Conferences · eligible papers

ICLR

2022–2026 LIVE

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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。

  1. 2025 · ICLR

    Uni-Sign: Toward Unified Sign Language Understanding at Scale

    Zecheng Li, Wengang Zhou, Weichao Zhao, Kepeng Wu, Hezhen Hu, Houqiang Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2025 · ICLR

    UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization

    Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Jiayi Shi, Chuyi Tan, Boyuan Pan, Yao Hu, Kan Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2025 · ICLR

    UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP

    Wenzheng Pan, Hao Xiong, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2025 · ICLR

    UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation

    Xianwei Zhuang, Zhihong Zhu, Zhichang Wang, Xuxin Cheng, Yuexian Zou

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2025 · ICLR

    UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

    Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2025 · ICLR

    UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation

    Huimin LU, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

    Machine Learning

    日本大学: 東北大学 / 東京大学

  7. 2025 · ICLR

    UniDrive: Towards Universal Driving Perception Across Camera Configurations

    Ye Li, Wenzhao Zheng, Xiaonan Huang, Kurt Keutzer

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2025 · ICLR

    UniGEM: A Unified Approach to Generation and Property Prediction for Molecules

    Shikun Feng, Yuyan Ni, Lu yan, Zhi-Ming Ma, Wei-Ying Ma, Yanyan Lan

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2025 · ICLR

    UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting

    Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2025 · ICLR

    UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery

    Ruifeng Li, Mingqian Li, Wei Liu, Yuhua Zhou, Xiangxin Zhou, Yuan Yao, Qiang Zhang, Hongyang Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2025 · ICLR

    UniRestore3D: A Scalable Framework For General Shape Restoration

    Yuang Wang, Yujian Zhang, Sida Peng, Xingyi He, Haoyu Guo, Yujun Shen, Hujun Bao, Xiaowei Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2025 · ICLR

    UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation

    Alexander Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R Glass, Rafael Valle, Bryan Catanzaro

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2025 · ICLR

    Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers

    RUNJIA LI, Qiwei Di, Quanquan Gu

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2025 · ICLR

    Unified Parameter-Efficient Unlearning for LLMs

    Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2025 · ICLR

    Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search

    Yang Li, Jiale Ma, Wenzheng Pan, Runzhong Wang, Haoyu Geng, Nianzu Yang, Junchi Yan

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2025 · ICLR

    Unifying Causal Representation Learning with the Invariance Principle

    Dingling Yao, Dario Rancati, Riccardo Cadei, Marco Fumero, Francesco Locatello

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2025 · ICLR

    Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark

    Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2025 · ICLR

    Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

    Noam Razin, Sadhika Malladi, Adithya Bhaskar, Danqi Chen, Sanjeev Arora, Boris Hanin

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2025 · ICLR

    Union-over-Intersections: Object Detection beyond Winner-Takes-All

    Aritra Bhowmik, Pascal Mettes, Martin R. Oswald, Cees G Snoek

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2025 · ICLR

    Universal Image Restoration Pre-training via Degradation Classification

    Jiakui Hu, Lujia Jin, Zhengjian Yao, Yanye Lu

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2025 · ICLR

    Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos

    Dayal Singh Kalra, Tianyu He, Maissam Barkeshli

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2025 · ICLR

    Universal generalization guarantees for Wasserstein distributionally robust models

    Tam Le, Jerome Malick

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2025 · ICLR

    Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy

    Yangsibo Huang, Daogao Liu, Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Milad Nasr, Amer Sinha, Chiyuan Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2025 · ICLR

    Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning

    Shengyuan Hu, Yiwei Fu, Steven Wu, Virginia Smith

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2025 · ICLR

    Unlearning-based Neural Interpretations

    Ching Lam Choi, Alexandre Duplessis, Serge Belongie

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2025 · ICLR

    Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment

    Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2025 · ICLR

    Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning

    Chongjie Si, Zhiyi Shi, Shifan Zhang, Xiaokang Yang, Hanspeter Pfister, Wei Shen

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2025 · ICLR

    Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning

    Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Cheng, Jun Huan, Haoyu Wang, Jing Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2025 · ICLR

    Unlocking Global Optimality in Bilevel Optimization: A Pilot Study

    Quan Xiao, Tianyi Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  30. 2025 · ICLR

    Unlocking Guidance for Discrete State-Space Diffusion and Flow Models

    Hunter Nisonoff, Junhao Xiong, Stephan Allenspach, Jennifer Listgarten

    Machine Learning

    日本大学: 関与なし(対象大学)

  31. 2025 · ICLR

    Unlocking Point Processes through Point Set Diffusion

    David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh, Stephan Günnemann

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2025 · ICLR

    Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

    Riccardo Grazzi, Julien Siems, Arber Zela, Jörg Franke, Frank Hutter, massimiliano pontil

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2025 · ICLR

    Unlocking the Potential of Model Calibration in Federated Learning

    Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2025 · ICLR

    Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning

    Gangwei Jiang, caigao jiang, Zhaoyi Li, Siqiao Xue, JUN ZHOU, Linqi Song, Defu Lian, Ying Wei

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2025 · ICLR

    Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model

    Yaxuan Huang, Xili Dai, Jianan Wang, Xianbiao Qi, Yixing Yuan, Xiangyu Yue

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2025 · ICLR

    Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints

    Yuxuan Wu, Ziyu Wang, Bhiksha Raj, Gus Xia

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2025 · ICLR

    Unsupervised Meta-Learning via In-Context Learning

    Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, Marlena Nowaczyk

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2025 · ICLR

    Unsupervised Model Tree Heritage Recovery

    Eliahu Horwitz, Asaf Shul, Yedid Hoshen

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2025 · ICLR

    Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation

    Yan Sun, Stanley Kok

    Machine Learning

    日本大学: 関与なし(対象大学)

  40. 2025 · ICLR

    Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation

    Jingbo Sun, Songjun Tu, Qichao Zhang, Haoran Li, Xin Liu, Yaran Chen, Ke Chen, Dongbin Zhao

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2025 · ICLR

    Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

    Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2025 · ICLR

    Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs

    Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2025 · ICLR

    Utilitarian Algorithm Configuration for Infinite Parameter Spaces

    Devon Graham, Kevin Leyton-Brown

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2025 · ICLR

    Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification

    Santiago Cortes-Gomez, Carlos Patiño, Yewon Byun, Steven Wu, Eric Horvitz, Bryan Wilder

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2025 · ICLR

    VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology

    Yi Xiao, Qilong Jia, Kun Chen, LEI BAI, Wei Xue

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2025 · ICLR

    VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text

    Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2025 · ICLR

    VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

    Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David Lindell, Sergey Tulyakov

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2025 · ICLR

    VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning

    Han Lin, Tushar Nagarajan, Nicolas Ballas, Mahmoud Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2025 · ICLR

    VICtoR: Learning Hierarchical Vision-Instruction Correlation Rewards for Long-horizon Manipulation

    Kuo-Han Hung, Pang-Chi Lo, Jia-Fong Yeh, Han-Yuan Hsu, Yi-Ting Chen, Winston Hsu

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2025 · ICLR

    VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

    Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2025 · ICLR

    VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration

    Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2025 · ICLR

    VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

    Yongshuo Zong, Ondrej Bohdal, Timothy Hospedales

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2025 · ICLR

    VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation

    Wei Zhao, Pengxiang Ding, Zhang Min, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2025 · ICLR

    VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

    Ziyan Jiang, Rui Meng, Xinyi Yang, Semih Yavuz, Yingbo Zhou, Wenhu Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2025 · ICLR

    VLMaterial: Procedural Material Generation with Large Vision-Language Models

    Beichen Li, Rundi Wu, Armando Solar-Lezama, Changxi Zheng, Liang Shi, Bernd Bickel, Wojciech Matusik

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2025 · ICLR

    VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning

    Nilay Yilmaz, Maitreya Patel, Lawrence Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, 'YZ' Yezhou Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2025 · ICLR

    VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis

    Yumeng Li, William H Beluch, Margret Keuper, Dan Zhang, Anna Khoreva

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2025 · ICLR

    VTDexManip: A Dataset and Benchmark for Visual-tactile Pretraining and Dexterous Manipulation with Reinforcement Learning

    Qingtao Liu, Yu Cui, Zhengnan Sun, Gaofeng Li, Jiming Chen, Qi Ye

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2025 · ICLR

    VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems

    Xudong Gong, Feng Dawei, Kele Xu, weijia wang, Zhangjun Sun, Xing Zhou, Si Zheng, Bo Ding, Huaimin Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2025 · ICLR

    Valid Conformal Prediction for Dynamic GNNs

    Ed Davis, Ian Gallagher, Daniel Lawson, Patrick Rubin-Delanchy

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2025 · ICLR

    Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF

    Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2025 · ICLR

    Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization

    Xingyu Jiang, Ning Gao, Xiuhui Zhang, Hongkun Dou, Yue Deng

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2025 · ICLR

    Variance-Reducing Couplings for Random Features

    Isaac Reid, Stratis Markou, Krzysztof Choromanski, Richard E Turner, Adrian Weller

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2025 · ICLR

    Variational Bayesian Pseudo-Coreset

    Hyungi Lee, Seungyoo Lee, Juho Lee

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2025 · ICLR

    Variational Best-of-N Alignment

    Afra Amini, Tim Vieira, Elliott Ash, Ryan Cotterell

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2025 · ICLR

    Variational Diffusion Posterior Sampling with Midpoint Guidance

    Badr MOUFAD, Yazid Janati el idrissi, Lisa Bedin, Alain Oliviero Durmus, randal douc, Eric Moulines, Jimmy Olsson

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2025 · ICLR

    Variational Search Distributions

    Dan Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin Bonilla

    Machine Learning

    日本大学: 関与なし(対象大学)

  68. 2025 · ICLR

    Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only

    Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2025 · ICLR

    Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors

    Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin Bowyer

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2025 · ICLR

    Vector-ICL: In-context Learning with Continuous Vector Representations

    Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2025 · ICLR

    Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization

    Jianting Yang, Srecko Durasinovic, Jean Bernard Lasserre, Victor Magron, Jun ZHAO

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2025 · ICLR

    Vertical Federated Learning with Missing Features During Training and Inference

    Pedro Valdeira, Shiqiang Wang, Yuejie Chi

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2025 · ICLR

    Vevo: Controllable Zero-Shot Voice Imitation with Self-Supervised Disentanglement

    Xueyao Zhang, Xiaohui Zhang, Kainan Peng, Zhenyu Tang, Vimal Manohar, Yingru Liu, Jeff Hwang, Dangna Li, Yuhao Wang, Julian Chan, Yuan Huang, Zhizheng Wu, Mingbo Ma

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2025 · ICLR

    ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler

    Serin Yang, Taesung Kwon, Jong Chul YE

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2025 · ICLR

    ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

    Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  76. 2025 · ICLR

    ViSAGe: Video-to-Spatial Audio Generation

    Jaeyeon Kim, Heeseung Yun, Gunhee Kim

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2025 · ICLR

    VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models

    Lisa Dunlap, Krishna Mandal, trevor darrell, Jacob Steinhardt, Joseph E Gonzalez

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2025 · ICLR

    Video Action Differencing

    James Burgess, Xiaohan Wang, Yuhui Zhang, Anita Rau, Alejandro Lozano, Lisa Dunlap, trevor darrell, Serena Yeung

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2025 · ICLR

    Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators

    Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2025 · ICLR

    Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision

    Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2025 · ICLR

    VideoGrain: Modulating Space-Time Attention for Multi-Grained Video Editing

    Xiangpeng Yang, Linchao Zhu, Hehe Fan, Yi Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2025 · ICLR

    VideoPhy: Evaluating Physical Commonsense for Video Generation

    Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2025 · ICLR

    VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

    Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2025 · ICLR

    VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

    Lawrence Jang, Yinheng Li, Dan Zhao, Charles Ding, Justin Lin, Paul Pu Liang, Rogerio Bonatti, Kazuhito Koishida

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2025 · ICLR

    VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

    Shi Yu, Chaoyue Tang, Bokai Xu, Junbo Cui, Junhao Ran, Yukun Yan, Zhenghao Liu, Shuo Wang, Xu Han, Zhiyuan Liu, Maosong Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2025 · ICLR

    Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations

    Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B Tenenbaum, James DiCarlo

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2025 · ICLR

    Vision Language Models are In-Context Value Learners

    Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2025 · ICLR

    Vision and Language Synergy for Rehearsal Free Continual Learning

    Muhammad Anwar Masum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, H Habibullah, Ryszard Kowalczyk

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2025 · ICLR

    Vision-LSTM: xLSTM as Generic Vision Backbone

    Benedikt Alkin, Maximilian Beck, Korbinian Pöppel, Sepp Hochreiter, Johannes Brandstetter

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2025 · ICLR

    Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

    Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2025 · ICLR

    Visual Agents as Fast and Slow Thinkers

    Guangyan Sun, Mingyu Jin, Zhenting Wang, Chenglong Wang, Siqi Ma, Qifan Wang, Tong Geng, Yingnian Wu, Yongfeng Zhang, Dongfang Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2025 · ICLR

    Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs

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    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2025 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2025 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  95. 2025 · ICLR

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    Machine Learning

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  96. 2025 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  97. 2025 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  98. 2025 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  99. 2025 · ICLR

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    Machine Learning

    日本大学: 関与なし(対象大学)

  100. 2025 · ICLR

    W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models

    Shang Wang

    Machine Learning

    日本大学: 関与なし(対象大学)