ICML

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2025 · 3,330 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 · ICML
Observation Interference in Partially Observable Assistance Games
Scott Emmons, Caspar Oesterheld, Vincent Conitzer, Stuart Russell
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents
Shuo Han, German Espinosa, Junda Huang, Daniel Dombeck, Malcolm A. Maciver, Bradly C. Stadie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii
Machine Learning
日本大学: 京都大学
2025 · ICML
Off-Policy Evaluation under Nonignorable Missing Data
Han Wang, Yang Xu, Wenbin Lu, Rui Song
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Offline Model-based Optimization for Real-World Molecular Discovery
Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Olica: Efficient Structured Pruning of Large Language Models without Retraining
Jiujun He, Huazhen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation
Yaoxuan Feng, Wenchao Chen, Yuxin Li, Bo Chen, Yubiao Wang, Zixuan Zhao, Hongwei Liu, Mingyuan Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition
Shuai Yuan, Hongwei Li, Rui Zhang, Hangcheng Cao, Wenbo Jiang, Tao Ni, Wenshu Fan, Qingchuan Zhao, Guowen Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Chonghan Gao, Rongye Shi, Shanghang Zhang, Jianxin Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OmniAudio: Generating Spatial Audio from 360-Degree Video
Huadai Liu, Tianyi Luo, Kaicheng Luo, Qikai Jiang, Peiwen Sun, Jialei Wang, Rongjie Huang, Qian Chen, Wen Wang, Xiangtai Li, Shiliang Zhang, Zhijie Yan, Zhou Zhao, Wei Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Jin Xin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Differential Privacy for Adaptively Solving Search Problems via Sketching
Shiyuan Feng, Ying Feng, George Zhaoqi Li, Zhao Song, David Woodruff, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui
Machine Learning
日本大学: 慶應義塾大学
2025 · ICML
On Exact Bit-level Reversible Transformers Without Changing Architecture
Guoqiang Zhang, Jp Lewis, W. Bastiaan Kleijn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding
Kevin Xu, Issei Sato
Machine Learning
日本大学: 東京大学
2025 · ICML
On Fine-Grained Distinct Element Estimation
Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee, Thanasis Pittas, David Woodruff, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Learning Parallel Pancakes with Mostly Uniform Weights
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C.H. Lee, Thanasis Pittas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
Ekaterina Borodich, Alexander Gasnikov, Dmitry Kovalev
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Measuring Long-Range Interactions in Graph Neural Networks
Jacob Bamberger, Benjamin Gutteridge, Scott Le Roux, Michael M. Bronstein, Xiaowen Dong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
Matthew Faw, Constantine Caramanis, Jessica Hoffmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Path to Multimodal Generalist: General-Level and General-Bench
Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Teacher Hacking in Language Model Distillation
Daniil Tiapkin, Daniele Calandriello, Johan Ferret, Sarah Perrin, Nino Vieillard, Alexandre Rame, Mathieu Blondel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Temperature Scaling and Conformal Prediction of Deep Classifiers
Lahav Dabah, Tom Tirer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
Thomas Tck Zhang, Behrad Moniri, Ansh Nagwekar, Faraz Rahman, Anton Xue, Hamed Hassani, Nikolai Matni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Understanding Attention-Based In-Context Learning for Categorical Data
Aaron T Wang, William Convertino, Xiang Cheng, Ricardo Henao, Lawrence Carin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Volume Minimization in Conformal Regression
Batiste Le Bars, Pierre Humbert
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation
Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Adversarial Robustness of Multi-Kernel Clustering
Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu, Xinwang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Benefits of Active Data Collection in Operator Learning
Unique Subedi, Ambuj Tewari
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
Binghui Li, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Convergence of Continuous Single-timescale Actor-critic
Xuyang Chen, Lin Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Diversity of Adversarial Ensemble Learning
Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Duality between Gradient Transformations and Adapters
Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
Naram Mhaisen, George Iosifidis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Emergence of Position Bias in Transformers
Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Generalization Ability of Next-Token-Prediction Pretraining
Zhihao Li, Xue Jiang, Liyuan Liu, Xuelin Zhang, Hong Chen, Feng Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Guidance of Flow Matching
Ruiqi Feng, Chenglei Yu, Wenhao Deng, Peiyan Hu, Tailin Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Impact of Performative Risk Minimization for Binary Random Variables
Nikita Tsoy, Ivan Kirev, Negin Rahimiyazdi, Nikola Konstantinov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Importance of Embedding Norms in Self-Supervised Learning
Andrew Draganov, Sharvaree Vadgama, Sebastian Damrich, Jan Niklas Böhm, Lucas Maes, Dmitry Kobak, Erik J Bekkers
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Importance of Gaussianizing Representations
Daniel Eftekhari, Vardan Papyan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
Junwei Su, Chuan Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Learnability of Distribution Classes with Adaptive Adversaries
Tosca Lechner, Alex Bie, Gautam Kamath
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Local Complexity of Linear Regions in Deep ReLU Networks
Niket Nikul Patel, Guido Montufar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Out-of-Distribution Generalization of Self-Supervised Learning
Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li, Changwen Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Power of Context-Enhanced Learning in LLMs
Xingyu Zhu, Abhishek Panigrahi, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Power of Learning-Augmented Search Trees
Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Private Estimation of Smooth Transport Maps
Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Provable Separation of Scales in Maximal Update Parameterization
Letong Hong, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Query Complexity of Verifier-Assisted Language Generation
Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
Jen-Tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Michael Lyu, Maarten Sap
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Robustness of Reward Models for Language Model Alignment
Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Role of Label Noise in the Feature Learning Process
Andi Han, Wei Huang, Zhanpeng Zhou, Gang Niu, Wuyang Chen, Junchi Yan, Akiko Takeda, Taiji Suzuki
Machine Learning
日本大学: 東京大学
2025 · ICML
On the Similarities of Embeddings in Contrastive Learning
Chungpa Lee, Sehee Lim, Kibok Lee, Jy-Yong Sohn
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Statistical Mechanisms of Distributional Compositional Generalization
Jingwen Fu, Nanning Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning
Yi-Rui Yang, Chang-Wei Shi, Wu-Jun Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
Wei Shen, Ruida Zhou, Jing Yang, Cong Shen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains
Xun Xian, Ganghua Wang, Xuan Bi, Rui Zhang, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists
Dongyang Fan, Bettina Messmer, Nikita Doikov, Martin Jaggi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving
Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory
Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework
Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation
Xiaoyu Yang, Lijian Xu, Hongsheng Li, Shaoting Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi, Amandine Brunetto, Thomas Fel, Jayneel Parekh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One-Pass Feature Evolvable Learning with Theoretical Guarantees
Cun-Yuan Xing, Meng-Zhang Qian, Wu-Yang Chen, Wei Gao, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One-Step Generalization Ratio Guided Optimization for Domain Generalization
Sumin Cho, Dongwon Kim, Kwangsu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
One-dimensional Path Convolution
Xuanshu Luo, Martin Werner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Li Qing, Hui Xiong, Xiaomeng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Clustering of Dueling Bandits
Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C.S. Lui, Zhongxiang Dai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Conformal Prediction via Online Optimization
Felipe Areces, Christopher Mohri, Tatsunori Hashimoto, John Duchi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Can Chen, Jun-Kun Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Differentially Private Conformal Prediction for Uncertainty Quantification
Qiangqiang Zhang, Ting Li, Xinwei Feng, Xiaodong Yan, Jinhan Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Episodic Convex Reinforcement Learning
Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard, Margaux Brégère, Nadia Oudjane
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Laplacian-Based Representation Learning in Reinforcement Learning
Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Learning in Risk Sensitive constrained MDP
Arnob Ghosh, Mehrdad Moharrami
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Learning in the Random-Order Model
Martino Bernasconi, Andrea Celli, Riccardo Colini Baldeschi, Federico Fusco, Stefano Leonardi, Matteo Russo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Learning with Unknown Constraints
Karthik Sridharan, Seung Won Wilson Yoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Linear Classification with Massart Noise
Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Pre-Training for Offline-to-Online Reinforcement Learning
Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Youngsoo Jang, Geon-Hyeong Kim, Jongseong Chae, Youngchul Sung, Kanghoon Lee, Woohyung Lim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Robust Reinforcement Learning Through Monte-Carlo Planning
Tuan Quang Dam, Kishan Panaganti, Brahim Driss, Adam Wierman
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Online Sparsification of Bipartite-Like Clusters in Graphs
Joyentanuj Das, Suranjan De, He Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Open Materials Generation with Stochastic Interpolants
Philipp Höllmer, Thomas Egg, Maya Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark Transtrum, Richard Hennig, Ellad B. Tadmor, Stefano Martiniani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James Kwok, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Open-Det: An Efficient Learning Framework for Open-Ended Detection
Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang, Dongmei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
Hongliang Lu, Zhonglin Xie, Yaoyu Wu, Can Ren, Yuxuan Chen, Zaiwen Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Optimal Algorithm for Max-Min Fair Bandit
Zilong Wang, Zhiyao Zhang, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Optimal Auction Design in the Joint Advertising
Yang Li, Yuchao Ma, Qi Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
Juha Harviainen, Frank Sommer, Manuel Sorge, Stefan Szeider
Machine Learning
日本大学: 関与なし（対象大学）