ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

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。

2025 · ICLR
Protein Language Model Fitness is a Matter of Preference
Cade Gordon, Amy Lu, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ProteinBench: A Holistic Evaluation of Protein Foundation Models
Fei YE, Zaixiang Zheng, Dongyu Xue, Yuning Shen, Lihao Wang, Yiming Ma, Yan Wang, Xinyou Wang, Xiangxin Zhou, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Proteina: Scaling Flow-based Protein Structure Generative Models
Tomas Geffner, Kieran Didi, Zuobai Zhang, Danny Reidenbach, Zhonglin Cao, Jason Yim, Mario Geiger, Christian Dallago, Emine Kucukbenli, Arash Vahdat, Karsten Kreis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ProtoSnap: Prototype Alignment For Cuneiform Signs
Rachel Mikulinsky, Morris Alper, Shai Gordin, Enrique Jiménez, Yoram Cohen, Hadar Averbuch-Elor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Prototype antithesis for biological few-shot class-incremental learning
Binghao Liu, Han Yang, Fang Wan, Fei Gu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
Wei Guo, Molei Tao, Yongxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization
Matthew Burns, Qingyuan Hou, Michael Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Omar Chehab, Anna Korba, Austin Stromme, Adrien Vacher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
Shuang Liu, Yihan Wang, Yifan Zhu, Yibo Miao, XIAOSHAN GAO
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable Uncertainty Decomposition via Higher-Order Calibration
Gustaf Ahdritz, Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, Udi Wieder
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable unlearning in topic modeling and downstream tasks
Stanley Wei, Sadhika Malladi, Sanjeev Arora, Amartya Sanyal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provable weak-to-strong generalization via benign overfitting
David Wu, Anant Sahai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
Christopher Musco, R. Teal Witter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning
Yan Scholten, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
Jiate Li, Meng Pang, Yun Dong, Jinyuan Jia, Binghui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provably Safeguarding a Classifier from OOD and Adversarial Samples
Nicolas Atienza, Johanne Cohen, Christophe Labreuche, Michele Sebag
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Provence: efficient and robust context pruning for retrieval-augmented generation
Nadezhda Chirkova, Thibault Formal, Vassilina Nikoulina, Stéphane Clinchant
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
Zenan Li, Zhaoyu Li, Wen Tang, Xian Zhang, Yuan Yao, Xujie Si, Fan Yang, Kaiyu Yang, Xiaoxing Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization
Wei LIN, Jia Wan, Antoni Chan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Proxy Denoising for Source-Free Domain Adaptation
Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Dr. Zhang, Xiatian Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
Qiuchen Wang, Zehui Chen, Chenhongyi Yang, Jiaming Liu, Zhenyu Li, Feng Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
Yanbiao Ma, Wei Dai, Jiayi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer
Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus Collins, Huzefa Rangwala
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify
Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition
Jie Wang, Tingfa Xu, Lihe Ding, Xinjie Zhang, Long Bai, Jianan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin, Zhicheng Sun, Ningyuan Li, Kun Xu, Hao Jiang, Nan Zhuang, Quzhe Huang, Yang Song, Yadong MU, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation
Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
Joey Hong, Anca Dragan, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
QA-Calibration of Language Model Confidence Scores
Putra Manggala, Atalanti A Mastakouri, Elke Kirschbaum, Shiva Kasiviswanathan, Aaditya Ramdas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
QERA: an Analytical Framework for Quantization Error Reconstruction
Cheng Zhang, Jeffrey T. H. Wong, Can Xiao, George Constantinides, Yiren Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing
Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
QP-SNN: Quantized and Pruned Spiking Neural Networks
Wenjie Wei, Malu Zhang, Zijian Zhou, Ammar Belatreche, Yimeng Shan, Yu Liang, Honglin Cao, Jieyuan Zhang, Yang Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
QPM: Discrete Optimization for Globally Interpretable Image Classification
Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Ramesh Manuvinakurike, Bodo Rosenhahn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
Théophane Vallaeys, Matthew J Muckley, Jakob Verbeek, Matthijs Douze
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
Yehui Tang, Mabiao Long, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quality Measures for Dynamic Graph Generative Models
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quality over Quantity in Attention Layers: When Adding More Heads Hurts
Noah Amsel, Gilad Yehudai, Joan Bruna
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quantifying Generalization Complexity for Large Language Models
Zhenting Qi, Hongyin Luo, Xuliang Huang, Zhuokai Zhao, Yibo Jiang, Xiangjun Fan, Hima Lakkaraju, James R Glass
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
Takashi Furuya, Koichi Taniguchi, Satoshi Okuda
Machine Learning
日本大学: 同志社大学 / 立教大学 / 静岡大学
2025 · ICLR
Quantized Spike-driven Transformer
Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quantum (Inspired) $D^2$-sampling with Applications
Poojan Shah, Ragesh Jaiswal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu, Frank Zhengqing Wu, Leyla Naz Candogan, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed Mohamed Abdelmoniem Sayed, Mohamed Elhoseiny, Marco Canini
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
R2Det: Exploring Relaxed Rotation Equivariance in 2D Object Detection
Zhiqiang Wu, Yingjie Liu, Hanlin Dong, Xuan Tang, Jian Yang, Bo Jin, Mingsong Chen, Xian Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards
Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RAG-SR: Retrieval-Augmented Generation for Neural Symbolic Regression
Hengzhe Zhang, Qi Chen, Bing XUE, Wolfgang Banzhaf, Mengjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RB-Modulation: Training-Free Stylization using Reference-Based Modulation
Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring
Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
Nazia Tasnim, Bryan Plummer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REEF: Representation Encoding Fingerprints for Large Language Models
Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments
Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REMEDY: Recipe Merging Dynamics in Large Vision-Language Models
Didi Zhu, Yibing Song, tao shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RESfM: Robust Deep Equivariant Structure from Motion
Fadi Khatib, Yoni Kasten, Dror Moran, Meirav Galun, Ronen Basri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RESuM: A Rare Event Surrogate Model for Physics Detector Design
Ann-Kathrin Schuetz, Alan Poon, Aobo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS
Yonatan Sverdlov, Ido Springer, Nadav Dym
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
REvolve: Reward Evolution with Large Language Models using Human Feedback
RISHI HAZRA, Alkis Sygkounas, Andreas Persson, Amy Loutfi, Pedro Zuidberg Dos Martires
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception
Rui Zhang, Ruixu Geng, Yadong Li, Ruiyuan Song, Hanqin Gong, Dongheng Zhang, Yang Hu, Yan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RFWave: Multi-band Rectified Flow for Audio Waveform Reconstruction
Peng Liu, Dongyang Dai, Zhiyong Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RGB-Event ISP: The Dataset and Benchmark
Yunfan LU, Yanlin Qian, Ziyang Rao, Junren Xiao, Liming Chen, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RMB: Comprehensively benchmarking reward models in LLM alignment
Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval
Kaiyue Wen, Xingyu Dang, Kaifeng Lyu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng, Peng Hu, Jieping Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RRM: Robust Reward Model Training Mitigates Reward Hacking
Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning
Qianlan Yang, Yu-Xiong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RaSA: Rank-Sharing Low-Rank Adaptation
Zhiwei He, Zhaopeng Tu, Xing Wang, Xingyu Chen, Zhijie Wang, Jiahao Xu, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Radar: Fast Long-Context Decoding for Any Transformer
Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi, Sepidehsadat Hosseini, Frederick Tung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
Hanyang Zhao, Genta Winata, Anirban Das, Shi-Xiong Zhang, David Yao, Wenpin Tang, Sambit Sahu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RandLoRA: Full rank parameter-efficient fine-tuning of large models
Paul Albert, Frederic Zhang, Hemanth Saratchandran, Cristian Rodriguez-Opazo, Anton Hengel, Ehsan Abbasnejad
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising
Zhengwei Yin, Hongjun Wang, Guixu Lin, Weihang Ran, Yinqiang Zheng
Machine Learning
日本大学: 東京大学
2025 · ICLR
Random-Set Neural Networks
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang, Keivan Shariatmadar, Fabio Cuzzolin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Range, not Independence, Drives Modularity in Biologically Inspired Representations
Will Dorrell, Kyle Hsu, Luke Hollingsworth, Jin Hwa Lee, Jiajun Wu, Chelsea Finn, Peter Latham, Timothy Behrens, James Whittington
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank
Tanya Chowdhury, Yair Zick, James Allan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Ranking-aware adapter for text-driven image ordering with CLIP
Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning
Patrick Yin, Tyler Westenbroek, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
Charles Dawson, Van Tran, Max Li, Chuchu Fan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance
Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rational Decision-Making Agent with Learning Internal Utility Judgment
Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Rationalizing and Augmenting Dynamic Graph Neural Networks
Guibin Zhang, Yiyan Qi, Ziyang Cheng, Yanwei Yue, Dawei Cheng, Jian Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads
Hanlin Tang, Yang Lin, Jing Lin, Qingsen Han, Danning Ke, Shikuan Hong, Yiwu Yao, Gongyi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Re-Aligning Language to Visual Objects with an Agentic Workflow
Yuming Chen, Jiangyan Feng, Haodong Zhang, Lijun GONG, Feng Zhu, Rui Zhao, Qibin Hou, Ming-Ming Cheng, Yibing Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
Rundong He, Yicong Dong, Lan-Zhe Guo, Yilong Yin, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Re-Imagining Multimodal Instruction Tuning: A Representation View
Yiyang Liu, James Liang, Ruixiang Tang, Yugyung Lee, MAJID RABBANI, Sohail Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Re-evaluating Open-ended Evaluation of Large Language Models
Si-Qi Liu, Ian Gemp, Luke Marris, Georgios Piliouras, Nicolas Heess, Marc Lanctot
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReAttention: Training-Free Infinite Context with Finite Attention Scope
Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Qipeng Guo, Yuerong Song, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs
Andrew Liu, Henry Prior, Gargi Balasubramaniam, Rivka Moroshko, Amir Zait, Ilia Labzovsky, Danny Karmon, Ishita Dasgupta, Kimberly Stachenfeld, Kenneth Marino
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReGen: Generative Robot Simulation via Inverse Design
Peter (Phat) Nguyen, Johnson (Tsun-Hsuan) Wang, Zhang-Wei Hong, Erfan Aasi, Andrew Silva, Guy Rosman, Sertac Karaman, Daniela Rus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
XIANGYU PENG, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing
Machine Learning
日本大学: 関与なし（対象大学）