ICLR

2022–2026 LIVE

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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
Proper Velocity Neural Networks
Ziheng Chen, Zihan Su, Bernhard Schölkopf, Nicu Sebe
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Property-Driven Protein Inverse Folding with Multi-Objective Preference Alignment
Junqi Liu, Xiaoyang Hou, Chence Shi, Xin Liu, Zhi Yang, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
Haizhong Zheng, Jiawei Zhao, Beidi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection
Yiliang Chen, Zhixi Li, Cheng Xu, Alex Liu, Ruize Cui, Xuemiao Xu, Jeremy Teoh, Shengfeng He, Jing Qin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Protection against Source Inference Attacks in Federated Learning
Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Protein Structure Tokenization via Geometric Byte Pair Encoding
Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Marinka Zitnik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProteinAE: Protein Diffusion Autoencoders for Structure Encoding
Shaoning Li, Le Zhuo, Yusong Wang, Mingyu Li, Xinheng He, Fandi Wu, Hongsheng Li, Pheng-Ann Heng
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProtoKV: Long-context Knowledges Are Already Well-Organized Before Your Query
Zhiyuan Yu, Shijian Xiao, Zhangyue Yin, Xiaoran Liu, Lekai Xing, Wenzhong Li, Cam-Tu Nguyen, Sanglu Lu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
Ziheng Peng, Shijie Ren, Xinyue Gu, Linxiao Yang, Xiting Wang, Liang Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Provable Separations between Memorization and Generalization in Diffusion Models
Zeqi Ye, Qijie Zhu, Molei Tao, Minshuo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Provable and Practical In-Context Policy Optimization for Self-Improvement
Tianrun Yu, Yuxiao Yang, Zhaoyang Wang, Kaixiang Zhao, Porter Jenkins, Xuchao Zhang, Chetan Bansal, Huaxiu Yao, Weitong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Provably Accelerated Imaging with Restarted Inertia and Score-based Image Priors
Marien Renaud, Julien Hermant, Deliang Wei, Yu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Provably Explaining Neural Additive Models
Shahaf Bassan, Yizhak Elboher, Tobias Ladner, Volkan Şahin, Jan Kretinsky, Matthias Althoff, Guy Katz
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Proving the Limited Scalability of Centralized Distributed Optimization via a New Lower Bound Construction
Alexander Tyurin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Proximal Diffusion Neural Sampler
Wei Guo, Jaemoo Choi, Yuchen Zhu, Molei Tao, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Proximal Supervised Fine-Tuning
Wenhong Zhu, Ruobing Xie, Rui Wang, Samm Sun, Di Wang, Pengfei Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProxyAttn: Guided Sparse Attention via Representative Heads
Yixuan Wang, Huang He, Siqi Bao, hua wu, Haifeng Wang, Qingfu Zhu, Wanxiang Che
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
ProxyThinker: Test-Time Guidance through Small Visual Reasoners
Zilin Xiao, Jaywon Koo, Siru Ouyang, Jefferson Hernandez, Yu Meng, Vicente Ordonez
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity
Zhengyao Fang, Pengyuan Lyu, Chengquan Zhang, Guangming Lu, Jun Yu, Wenjie Pei
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Prune-then-Quantize or Quantize-then-Prune? Understanding the Impact of Compression Order in Joint Model Compression
Minjun Kim, Jaehyeon Choi, Hyunwoo Yang, Jongjin Kim, Jinho Song, U Kang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization
Bin Hong, Jiayu Liu, Kai Zhang, Jianwen Sun, Mengdi Zhang, Zhenya Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models
Xuan Ding, Pengyu Tong, Ranjie Duan, Yunjian Zhang, Rui Sun, Yao Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization Viewpoint
Pingbang Hu, Mahito Sugiyama
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pulp Motion: Framing-aware multimodal camera and human motion generation
Robin Courant, Xi WANG, David Loiseaux, Marc Christie, Vicky Kalogeiton
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
Jianwei Li, Jung-Eun Kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
Răzvan-Andrei Matișan, Tao Hu, Grigory Bartosh, Björn Ommer, Cees G Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pursuing Minimal Sufficiency in Spatial Reasoning
Yejie Guo, Yunzhong Hou, Wufei Ma, Meng Tang, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation
Yaofang Liu, Yumeng REN, Aitor Artola, Yuxuan Hu, Xiaodong Cun, Xiaotong Zhao, Alan Zhao, Raymond Chan, Suiyun Zhang, Rui Liu, Dandan Tu, Jean-michel Morel
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pushing Test-Time Scaling Limits of Deep Search with Asymmetric Verification
Weihao Zeng, Keqing He, Chuqiao Kuang, Xiaoguang Li, Junxian He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, Amit Agarwal, Hyunwoo Ko, Chanuk lim, Srikant Panda, Minhyuk Kim, Nikunj drolia, Dasol Choi, Kyong-Ha Lee, Youngjae Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts
Hengzhi Li, Justin Zhang, Brendon Jiang, Alexander Naehu, Regan Song, Megan Tjandrasuwita, Chanakya Ekbote, Steven-Shine Chen, Adithya Balachandran, Wei Dai, Rebecca Chang, Paul Liang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Pyramid Patchification Flow for Visual Generation
Hui Li, Baoyou Chen, Jiaye Li, Jingdong Wang, Siyu Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Q&C: When Quantization Meets Cache in Efficient Generation
Xin Ding, Xin Li, Haotong Qin, Zhibo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Q-Learning with Adjoint Matching
Qiyang Li, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Q-Learning with Fine-Grained Gap-Dependent Regret
Haochen Zhang, Zhong Zheng, Lingzhou Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training
Artyom Sorokin, Nazar Buzun, Aleksandr Anokhin, Egor VEDERNIKOV, Petr Anokhin, Mikhail Burtsev, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Q-learning with Posterior Sampling
Priyank Agrawal, Shipra Agrawal, Azmat Azati
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QKV Projections Require a Fraction of Their Memory
Malik Khalaf, Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QLCoder: A Query Synthesizer For Static Analysis of Security Vulnerabilities
Claire Wang, Ziyang Li, Saikat Dutta, Mayur Naik
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QLIP: A Dynamic Quadtree Vision Prior Enhances MLLM Performance Without Retraining
Kyle Chickering, Bangzheng Li, Muhao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment
Fengyuan Lu, Zixuan Duan, Xunzhi Xiang, ZHICHENG ZHANG, Wenbin Li, Yang Gao, Qi Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QUEST: A robust attention formulation using query-modulated spherical attention
Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QVGen: Pushing the Limit of Quantized Video Generative Models
Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
Yuhao Xu, Yantai Yang, Zhenyang Fan, Yufan Liu, Yuming Li, Bing Li, Zhipeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QWHA: Quantization-Aware Walsh-Hadamard Adaptation for Parameter-Efficient Fine-Tuning on Large Language Models
Hyesung Jeon, Seojune Lee, Beomseok Kang, Yulhwa Kim, jae-joon kim
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QeRL: Beyond Efficiency - Quantization-enhanced Reinforcement Learning for LLMs
Wei Huang, Yi Ge, Shuai Yang, Yicheng Xiao, Huizi Mao, Yujun Lin, Hanrong Ye, Sifei Liu, Ka Chun Cheung, Hongxu (Danny) Yin, Yao Lu, XIAOJUAN QI, Song Han, Yukang Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization
Shihao Zhang, Haoyu Zhang, Ian Colbert, Rayan Saab
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuRL: Low-Precision Reinforcement Learning for Efficient Reasoning
Yuhang Li, Reena Elangovan, Xin Dong, Priyadarshini Panda, Brucek Khailany
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuRL: Rubrics As Judge For Open-Ended Question Answering
Xiyu Wei, Qingwei Zong, Xiaoguang Li, Eugene Yu, Sujian Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture
Cuong Le, Pavlo Melnyk, Urs Waldmann, Mårten Wadenbäck, Bastian Wandt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models
Jian Liu, Chunshi Wang, Song Guo, Haohan Weng, Zhen Zhou, Zhiqi Li, Jiaao Yu, Yiling Zhu, Jing Xu, Biwen Lei, Zhuo Chen, Chunchao Guo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
Hao Wang, Licheng Pan, Yuan Lu, Zi Chan, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
Feiyang Kang, Michael Kuchnik, Karthik Padthe, Marin Vlastelica, Ruoxi Jia, Carole-Jean Wu, Newsha Ardalani
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
Tianao Zhang, Zhiteng Li, Xianglong Yan, Haotong Qin, Yong Guo, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
Jiarui Li, Zixiang Yin, Haley Smith, Zhengming Ding, Samuel Landry, Ramgopal Mettu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quantitative Bounds for Length Generalization in Transformers
Zachary Izzo, Eshaan Nichani, Jason Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quantization-Aware Diffusion Models For Maximum Likelihood Training
Shohei Taniguchi, Masahiro Suzuki, Yutaka Matsuo
Machine Learning
日本大学: 東京大学
2026 · ICLR
Quantized Gradient Projection for Memory-Efficient Continual Learning
Dongjun Kim, Seohyeon Cha, Huancheng Chen, Chaining Wang, Haris Vikalo
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quantized Visual Geometry Grounded Transformer
Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quantum machine learning advantages beyond hardness of evaluation
Riccardo Molteni, Simon Marshall, Vedran Dunjko
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
Chenliang Zhou, Fangcheng Zhong, Weihao Xia, Albert Miao, Canberk Baykal, Cengiz Oztireli
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quasi-Equivariant Metanetworks
Viet-Hoang Tran, An Nguyen, Benoît Guérand, Thieu Vo, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quasi-Monte Carlo Methods Enable Extremely Low-Dimensional Deep Generative Models
Miles Martinez, Alex Williams
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
Zhuoping Zhou, Davoud Ataee Tarzanagh, Sima Didari, Wenjun Hu, Baruch Gutow, Oxana Verkholyak, Masoud Faraki, Heng Hao, Hankyu Moon, Seungjai Min
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Query-Guided Spatial–Temporal–Frequency Interaction for Music Audio–Visual Question Answering
Kun Li, Michael Yang, Sami Sebastian Brandt
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Query-Level Uncertainty in Large Language Models
Lihu Chen, Gerard de Melo, Fabian Suchanek, Gael Varoquaux
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Query-Specific Causal Graph Pruning Under Tiered Knowledge
Yizuo Chen, Jane Barker
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QueryStream: Advancing Streaming Video Understanding with Query-Aware Pruning and Proactive Response
Kairui Zhang, Zhenyu Yang, Bing Wang, Shengsheng Qian, Changsheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Jiazheng Li, Hongzhou Lin, Hong Lu, Kaiyue Wen, Zaiwen Yang, Jiaxuan Gao, Yi Wu, Jingzhao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Queue Length Regret Bounds for Contextual Queueing Bandits
Seoungbin Bae, Garyeong Kang, Dabeen Lee
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
QuoKA: Query-Oriented KV Selection for Efficient LLM Prefill
Dalton Jones, Junyoung Park, Matthew Morse, Mingu Lee, Matthew Harper Langston, Christopher Lott
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
Quotient-Space Diffusion Models
Yixian Xu, Yusong Wang, Shengjie Luo, Kaiyuan Gao, Tianyu He, Di He, Chang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R-WoM: Retrieval-augmented World Model For Computer-use Agents
Kai Mei, Jiang Guo, Shuaichen Chang, Mingwen Dong, Dongkyu Lee, Xing Niu, Jiarong Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-stage Reinforcement Learning
Yongchao Chen, Yueying Liu, Junwei Zhou, Yilun Hao, Jingquan Wang, Yang Zhang, Na Li, Chuchu Fan
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
YiFan Zhang, Xingyu Lu, Xiao Hu, Chaoyou Fu, Bin Wen, Tianke Zhang, Changyi Liu, Kaiyu Jiang, Kaibing Chen, Kaiyu Tang, Haojie Ding, Jiankang Chen, Fan Yang, Zhang, Tingting Gao, Di ZHANG, Guorui Zhou, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation
Naoki Morihira, Amal Nahar, Kartik Bharadwaj, Yasuhiro Kato, Akinobu Hayashi, Tatsuya Harada
Machine Learning
日本大学: 東京大学
2026 · ICLR
R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
Runyu Lu, Ruochuan Shi, Yuanheng Zhu, Dongbin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
R4: Nested Reasoning-Retrieval for Reward Modeling in Role-Playing Agents
Renzhi Wang, Chongqiang Wei, Zhisheng Wang, Piji Li
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RACE Attention: A Strictly Linear-Time Attention for Long-Sequence Training
Sahil Joshi, Agniva Chowdhury, Amar Kanakamedala, Ekam Singh, Evan Tu, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RADAR: Learning to Route with Asymmetry-aware Distance Representations
Hang Yi, Ziwei Huang, Yining Ma, Zhiguang Cao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs
Nigel Steven Fernandez, Branislav Kveton, Ryan Rossi, Andrew Lan, Jack Wang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference
LIANMING HUANG, Shangyu Wu, Yufei CUI, Ying Xiong, Haibo Hu, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion
Ningxin He, Yongheng Deng, Sheng Yue, Yongjian Fu, Zhangzehui, Tiegang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format
Zhehao Huang, Yuhang Liu, Baijiong Lin, Yixin Lou, Zhengbao He, Hanling Tian, Tao Li, Xiaolin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAP: 3D Rasterization Augmented End-to-End Planning
Lan Feng, Yang Gao, Eloi Zablocki, Quanyi Li, Wuyang Li, Sichao Liu, MATTHIEU CORD, Alexandre Alahi
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAR: Reversing Visual Attention Re-Sinking for Unlocking Potential in Multimodal Large Language Models
Zhehan Kan, Xin Li, Yanlin Liu, Xiaochen Yang, Xinghua Jiang, Yinsong Liu, Deqiang Jiang, Xing Sun, Qingmin Liao, Wenming Yang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jiaming Shen, Jimeng Sun, Jiawei Han
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RATE-DISTORTION OPTIMIZED PRAGMATIC COMMUNICATION FOR COLLABORATIVE PERCEPTION
Genjia Liu, Anning Hu, Yue Hu, Wenjun Zhang, Siheng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAVEN: End-to-end Equivariant Robot Learning with RGB Cameras
David Klee, Boce Hu, Andrew Cole, Heng Tian, Dian Wang, Robert Platt, Robin Walters
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
Jiaang Li, Yifei Yuan, Wenyan Li, Mohammad Aliannejadi, Daniel Hershcovich, Anders Søgaard, Ivan Vulić, Wenxuan Zhang, Paul Liang, Yang Deng, Serge Belongie
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RCPU: Rotation-Constrained Error Compensation for Structured Pruning of Large Language Models
Shuichiro Haruta, Kazunori Matsumoto, Zhi Li, Yanan Wang, Mori Kurokawa
Machine Learning
日本大学: 大阪大学
2026 · ICLR
RD-HRL: Generating Reliable Sub-Goals for Long-Horizon Sparse-Reward Tasks
Yixiang Shan, Haipeng Liu, Ting Long, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
Xiaoyang Cao, Zelai Xu, Mo Guang, Kaiwen Long, Michiel Bakker, Yu Wang, Chao Yu
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Reasoning
Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jun Rao, Min Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2026 · ICLR
REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering
Li-Ming Zhan, Bo LIU, Yujie Feng, Chengqiang Xie, Jiannong Cao, Xiao-Ming Wu
Machine Learning
日本大学: 関与なし（対象大学）