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
OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes
Sepehr Dehdashtian, Gautam Sreekumar, Vishnu Boddeti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
Stephen Zhang, Vardan Papyan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?
Zijian Chen, tingzhu chen, Wenjun Zhang, Guangtao Zhai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
Dujian Ding, Bicheng Xu, Laks Lakshmanan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ODE-based Smoothing Neural Network for Reinforcement Learning Tasks
Yinuo Wang, Wenxuan Wang, Xujie Song, Tong Liu, Yuming Yin, Liangfa Chen, Likun Wang, Jingliang Duan, Shengbo Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OGBench: Benchmarking Offline Goal-Conditioned RL
Seohong Park, Kevin Frans, Benjamin Eysenbach, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OLMoE: Open Mixture-of-Experts Language Models
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah Smith, Pang Wei Koh, Amanpreet Singh, Hanna Hajishirzi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OMG: Opacity Matters in Material Modeling with Gaussian Splatting
Silong Yong, Venkata Nagarjun Pudureddiyur Manivannan, Bernhard Kerbl, Zifu Wan, Simon Stepputtis, Katia Sycara, Yaqi Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code
Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ONLINE EPSILON NET & PIERCING SET FOR GEOMETRIC CONCEPTS
Sujoy Bhore, Devdan Dey, Satyam Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OPTAMI: Global Superlinear Convergence of High-order Methods
Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander Gasnikov, Martin Takáč
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
Chen Bo Calvin Zhang, Zhang-Wei Hong, Aldo Pacchiano, Pulkit Agrawal
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OS-ATLAS: Foundation Action Model for Generalist GUI Agents
Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning
Xiaoqiang Wang, Bang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents
Zhaolin Hu, Yixiao Zhou, Zhongan Wang, Xin Li, Weimin Yang, Hehe Fan, Yi Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
Xing Hu, Yuan Cheng, Zhixuan Chen, Dawei Yang, Jiangyong Yu, XUCHEN, Zhihang Yuan, Zhe jiang, Sifan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Jinyang Li, En Yu, Sijia Chen, Wenbing Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Object-Centric Pretraining via Target Encoder Bootstrapping
Nikola Đukić, Tim Lebailly, Tinne Tuytelaars
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding
Indraneil Paul, Haoyi Yang, Goran Glavaš, Kristian Kersting, Iryna Gurevych
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OccProphet: Pushing the Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with an Observer-Forecaster-Refiner Framework
Junliang Chen, Huaiyuan Xu, Yi Wang, Lap-Pui Chau
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy
Mingyang Zhao, Gaofeng Meng, Dong-ming Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Offline Hierarchical Reinforcement Learning via Inverse Optimization
Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Offline Model-Based Optimization by Learning to Rank
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood
Qingmao Yao, Zhichao Lei, Tianyuan Chen, Ziyue Yuan, Xuefan Chen, Jianxiang Liu, Faguo Wu, Xiao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, runxin xu, Zhengyang Tang, Wang Benyou, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniBind: Large-scale Omni Multimodal Representation via Binding Spaces
zehan wang, Ziang Zhang, Minjie Hong, Hang Zhang, Luping Liu, Rongjie Huang, Xize Cheng, Shengpeng Ji, Tao Jin, Hengshuang Zhao, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Qingyun Li, Zhe Chen, Weiyun Wang, Wenhai Wang, Shenglong Ye, Zhenjiang Jin, Guanzhou Chen, Yinan He, Zhangwei Gao, Erfei Cui, Jiashuo Yu, Hao Tian, Jiasheng Zhou, Chao Xu, Bin Wang, Xingjian Wei, Wei Li, Wenjian Zhang, Bo Zhang, Pinlong Cai, Licheng Wen, Xiangchao Yan, Pei Chu, Yi Wang, Min Dou, Changyao Tian, Xizhou Zhu, Lewei Lu, Yushi Chen, Junjun He, Tong Lu, Yali Wang, Limin Wang, Dahua Lin, Yu Qiao, Botian Shi, Conghui He, Jifeng Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision
Cong Wei, Zheyang Xiong, Weiming Ren, Xeron Du, Ge Zhang, Wenhu Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation
Yuchen Lin, Chenguo Lin, Jianjin Xu, Yadong MU
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniRe: Omni Urban Scene Reconstruction
Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
Xize Cheng, Siqi Zheng, zehan wang, Minghui Fang, Ziang Zhang, Rongjie Huang, Shengpeng Ji, Jialong Zuo, Tao Jin, Zhou Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, YANDONG LI, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Bits and Bandits: Quantifying the Regret-Information Trade-off
Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Calibration of LLM-based Guard Models for Reliable Content Moderation
Hongfu Liu, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
Dehong Xu, Ruiqi Gao, Wenhao Zhang, Xue-Xin Wei, Yingnian Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation
Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Disentangled Training for Nonlinear Transform in Learned Image Compression
Han Li, Shaohui Li, Wenrui Dai, Maida Cao, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Evaluating the Durability of Safeguards for Open-Weight LLMs
Xiangyu Qi, Boyi Wei, Nicholas Carlini, Yangsibo Huang, Tinghao Xie, Luxi He, Matthew Jagielski, Milad Nasr, Prateek Mittal, Peter Henderson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Generalization Across Environments In Multi-Objective Reinforcement Learning
Jayden Teoh, Pradeep Varakantham, Peter Vamplew
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Large Language Model Continual Unlearning
Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Linear Representations and Pretraining Data Frequency in Language Models
Jack Merullo, Noah Smith, Sarah Wiegreffe, Yanai Elazar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
Roman Belaire, Arunesh Sinha, Pradeep Varakantham
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Quantizing Neural Representation for Variable-Rate Video Coding
Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, Zhan Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Rollouts in Model-Based Reinforcement Learning
Bernd Frauenknecht, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Scaling Up 3D Gaussian Splatting Training
Hexu Zhao, Haoyang Weng, Daohan Lu, Ang Li, Jinyang Li, Aurojit Panda, Saining Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Speeding Up Language Model Evaluation
Jin Zhou, Christian Belardi, Ruihan Wu, Travis Zhang, Carla Gomes, Wen Sun, Kilian Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality
Jerry Yao-Chieh Hu, Weimin Wu, Yi-Chen Lee, Yu-Chao Huang, Minshuo Chen, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
Hengquan Guo, Xin Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Marcus Williams, Micah Carroll, Adhyyan Narang, Constantin Weisser, Brendan Murphy, Anca Dragan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On a Connection Between Imitation Learning and RLHF
Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant Honavar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, xulei yang, Chuan Sheng Foo, Xun Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Adversarial Vulnerability of Label-Free Test-Time Adaptation
Shahriar Rifat, Jonathan Ashdown, Michael De Lucia, Ananthram Swami, Francesco Restuccia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
Taha EL BAKKALI EL KADI, Omar Saadi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Benefits of Attribute-Driven Graph Domain Adaptation
Ruiyi Fang, Bingheng Li, zhao kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Benefits of Memory for Modeling Time-Dependent PDEs
Ricardo Buitrago Ruiz, Tanya Marwah, Albert Gu, Andrej Risteski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux, Max Zimmer, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Completeness of Invariant Geometric Deep Learning Models
Zian Li, Xiyuan Wang, Shijia Kang, Muhan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
Omer Madmon, Idan Pipano, Itamar Jacob Reinman, Moshe Tennenholtz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Crucial Role of Initialization for Matrix Factorization
Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov, Nadav Dym
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth
Gennadiy Averkov, Christopher Hojny, Maximilian Merkert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Feature Learning in Diffusion Models
Andi Han, Wei Huang, Yuan Cao, Difan Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Fourier analysis in the SO(3) space : the EquiLoPO Network
Dmitrii Zhemchuzhnikov, Sergei Grudinin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Hölder Stability of Multiset and Graph Neural Networks
Yair Davidson, Nadav Dym
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Identification of Temporal Causal Representation with Instantaneous Dependence
Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo, Salman Khan, Lei Zhu, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery
Renpu Liu, Ruida Zhou, Cong Shen, Jing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
GUOJUN XIONG, Shufan Wang, Daniel Jiang, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Modeling Capabilities of Large Language Models for Sequential Decision Making
Martin Klissarov, R Devon Hjelm, Alexander Toshev, Bogdan Mazoure
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Optimal Memorization Capacity of Transformers
Tokio Kajitsuka, Issei Sato [東京科学大学] [東京大学]
Machine Learning
日本大学: 東京科学大学 / 東京大学
2025 · ICLR
On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models
Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
Machine Learning
日本大学: 東京大学
2025 · ICLR
On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
Xianliang Li, Jun Luo, Zhiwei Zheng, Hanxiao Wang, Li Luo, Lingkun Wen, Linlong Wu, Sheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Price of Differential Privacy for Hierarchical Clustering
Chengyuan Deng, Jie Gao, Jalaj Upadhyay, Chen Wang, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
Elies Gil-Fuster, Casper Gyurik, Adrian Perez-Salinas, Vedran Dunjko
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Role of Attention Heads in Large Language Model Safety
Zhenhong Zhou, Haiyang Yu, Xinghua Zhang, Rongwu Xu, Fei Huang, Kun Wang, Yang Liu, Junfeng Fang, Yongbin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the Transfer of Object-Centric Representation Learning
Aniket Rajiv Didolkar, Andrii Zadaianchuk, Anirudh Goyal, Michael Mozer, Yoshua Bengio, Georg Martius, Maximilian Seitzer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the expressiveness and spectral bias of KANs
Yixuan Wang, Jonathan Siegel, Ziming Liu, Thomas Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On the self-verification limitations of large language models on reasoning and planning tasks
Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
On-the-fly Preference Alignment via Principle-Guided Decoding
Mingye Zhu, Yi Liu, Lei Zhang, Junbo Guo, Zhendong Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation
Anqi Li, Feng Li, Yuxi Liu, Runmin Cong, Yao Zhao, Huihui Bai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment
Christina Sartzetaki, Gemma Roig, Cees G Snoek, Iris Groen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs
Linbao Li, Yannan Liu, Daojing He, YU LI
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
One Step Diffusion via Shortcut Models
Kevin Frans, Danijar Hafner, Sergey Levine, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
One for all and all for one: Efficient computation of partial Wasserstein distances on the line
Laetitia Chapel, Romain Tavenard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt
Tao Liu, Kai Wang, Senmao Li, Joost van de Weijer, Fahad Khan, Shiqi Yang, Yaxing Wang, Jian Yang, Ming-Ming Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
Wenxi Lv, Qinliang Su, Wenchao Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Online Clustering with Nearly Optimal Consistency
T-H. Hubert Chan, Shaofeng Jiang, Tianyi Wu, Mengshi Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Online Preference Alignment for Language Models via Count-based Exploration
Chenjia Bai, Yang Zhang, Shuang Qiu, Qiaosheng Zhang, Kang Xu, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf, Siddhartha Sen, Mohammad Alizadeh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Online-to-Offline RL for Agent Alignment
Xu Liu, Haobo Fu, Stefano V. Albrecht, QIANG FU, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics
Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie
Machine Learning
日本大学: 東京大学
2025 · ICLR
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Open-World Reinforcement Learning over Long Short-Term Imagination
Jiajian Li, Qi Wang, Yunbo Wang, Xin Jin, Yang Li, Wenjun Zeng, Xiaokang Yang
Machine Learning
日本大学: 関与なし（対象大学）