ICML

2022–2026 LIVE

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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
Layer by Layer: Uncovering Hidden Representations in Language Models
Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Nikul Patel, Jalal Naghiyev, Yann Lecun, Ravid Shwartz-Ziv
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models
Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Layer-wise Quantization for Quantized Optimistic Dual Averaging
Anh Duc Nguyen, Ilia Markov, Zhengqing Wu, Ali Ramezani-Kebrya, Kimon Antonakopoulos, Dan Alistarh, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
Thien Hang Nguyen, Huy Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learn Beneficial Noise as Graph Augmentation
Siqi Huang, Yanchen Xu, Hongyuan Zhang, Xuelong Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learn Singularly Perturbed Solutions via Homotopy Dynamics
Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning
Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
Sepehr Elahi, Paula Mürmann, Patrick Thiran
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learnable Spatial-Temporal Positional Encoding for Link Prediction
Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales
Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Adaptive Lighting via Channel-Aware Guidance
Qirui Yang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Adversarial MDPs with Stochastic Hard Constraints
Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
Peng Wang, Yong Li, Lin Zhao, Xiu-Shen Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response
Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Cascade Ranking as One Network
Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li, Jian Yang, Shiyang Wen, Peng Jiang, Kun Gai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Changes in Graphon Attachment Network Models
Xinyuan Fan, Bufan Li, Chenlei Leng, Weichi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Classifiers That Induce Markets
Yonatan Sommer, Ivri Hikri, Lotan Amit, Nir Rosenfeld
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification
Jie Wen, Yadong Liu, Zhanyan Tang, Yuting He, Yulong Chen, Mu Li, Chengliang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction
Ankit Ghosh, Gargee Kashyap, Sarthak Mittal, Nupur Jain, Raghavan B Sunoj, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Configurations for Data-Driven Multi-Objective Optimization
Zhiyang Chen, Hailong Yao, Xia Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Curves of Stochastic Gradient Descent in Kernel Regression
Haihan Zhang, Weicheng Lin, Yuanshi Liu, Cong Fang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Distances from Data with Normalizing Flows and Score Matching
Peter Sorrenson, Daniel Behrend-Uriarte, Christoph Schnoerr, Ullrich Koethe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Distribution-wise Control in Representation Space for Language Models
Chunyuan Deng, Ruidi Chang, Hanjie Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Dynamics in Continual Pre-Training for Large Language Models
Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
Dongzhe Zheng, Wenjie Mei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Efficient Robotic Garment Manipulation with Standardization
Changshi Zhou, Feng Luan, Jiarui Hu, Shaoqiang Meng, Zhipeng Wang, Yanchao Dong, Yanmin Zhou, Bin He
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Event Completeness for Weakly Supervised Video Anomaly Detection
Yu Wang, Shiwei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Extrapolative Sequence Transformations from Markov Chains
Sophia Hager, Aleem Khan, Andrew Wang, Nicholas Andrews
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Fused State Representations for Control from Multi-View Observations
Zeyu Wang, Yao-Hui Li, Xin Li, Hongyu Zang, Romain Laroche, Riashat Islam
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Gaussian DAG Models without Condition Number Bounds
Constantinos Costis Daskalakis, Anthimos Vardis Kandiros, Rui Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Imbalanced Data with Beneficial Label Noise
Guangzheng Hu, Feng Liu, Mingming Gong, Guanghui Wang, Liuhua Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
Canzhe Zhao, Yutian Cheng, Jing Dong, Baoxiang Wang, Shuai Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points
Aditya Varre, Gizem Yüce, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision
Anqi Lu, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
Zhemin Li, Liyuan Ma, Hongxia Wang, Yaoyun Zeng, Xiaolong Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Invariant Causal Mechanism from Vision-Language Models
Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Armin Kekić, Sergio Hernan Garrido Mejia, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Latent Graph Structures and their Uncertainty
Alessandro Manenti, Daniele Zambon, Cesare Alippi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Likelihood-Free Reference Priors
Nicholas George Bishop, Daniel Jarne Ornia, Joel Dyer, Ani Calinescu, Michael J. Wooldridge
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Mean Field Control on Sparse Graphs
Christian Fabian, Kai Cui, Heinz Koeppl
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms
Christian Komusiewicz, Andre Schidler, Frank Sommer, Manuel Sorge, Luca Pascal Staus
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Mixtures of Experts with EM: A Mirror Descent Perspective
Quentin Fruytier, Aryan Mokhtari, Sujay Sanghavi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Monotonic Probabilities with a Generative Cost Model
Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Chenchen Jiao, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
Bart Bussmann, Noa Nabeshima, Adam Karvonen, Neel Nanda
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Optimal Multimodal Information Bottleneck Representations
Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Parametric Distributions from Samples and Preferences
Marc Jourdan, Gizem Yüce, Nicolas Flammarion
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Progress Driven Multi-Agent Curriculum
Wenshuai Zhao, Zhiyuan Li, Joni Pajarinen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Representations of Instruments for Partial Identification of Treatment Effects
Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Robust Neural Processes with Risk-Averse Stochastic Optimization
Huafeng Liu, Yiran Fu, Liping Jing, Hui Li, Shuyang Lin, Jingyue Shi, Deqiang Ouyang, Jian Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Safe Control via On-the-Fly Bandit Exploration
Alexandre Capone, Ryan Kazuo Cosner, Aaron Ames, Sandra Hirche
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
Negin Golrezaei, Sourav Sahoo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Safety Constraints for Large Language Models
Xin Chen, Yarden As, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Single Index Models with Diffusion Priors
Anqi Tang, Youming Chen, Shuchen Xue, Zhaoqiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Xiang Fu, Brandon M Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao, Misko Dzamba, C. Lawrence Zitnick
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Soft Sparse Shapes for Efficient Time-Series Classification
Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu, Qianli Ma
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
Spandan Pyakurel, Qi Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Survival Distributions with the Asymmetric Laplace Distribution
Deming Sheng, Ricardo Henao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes
Weihan Li, Yule Wang, Chengrui Li, Anqi Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Utilities from Demonstrations in Markov Decision Processes
Filippo Lazzati, Alberto Maria Metelli
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning Vision and Language Concepts for Controllable Image Generation
Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric Xing, Guangyi Chen, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Jessica Dai, Nika Haghtalab, Eric Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning curves theory for hierarchically compositional data with power-law distributed features
Francesco Cagnetta, Hyunmo Kang, Matthieu Wyart
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning dynamics in linear recurrent neural networks
Alexandra Maria Proca, Clémentine Carla Juliette Dominé, Murray Shanahan, Pedro A. M. Mediano
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
Lianbo Ma, Jianlun Ma, Yuee Zhou, Guoyang Xie, Qiang He, Zhichao Lu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning from Sample Stability for Deep Clustering
Zhixin Li, Yuheng Jia, Hui Liu, Junhui Hou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network
Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning from True-False Labels via Multi-modal Prompt Retrieving
Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Xinzheng Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations
Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo, Markus Freitag
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning multivariate Gaussians with imperfect advice
Arnab Bhattacharyya, Davin Choo, Philips George John, Themis Gouleakis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning the Electronic Hamiltonian of Large Atomic Structures
Chen Hao Xia, Manasa Kaniselvan, Alexandros Nikolaos Ziogas, Marko Mladenović, Rayen Mahjoub, Alexander Maeder, Mathieu Luisier
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems
Tomoharu Iwata, Shinsaku Sakaue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding
Tian Jin, Ellie Y Cheng, Zachary Ankner, Nikunj Saunshi, Blake M Elias, Amir Yazdanbakhsh, Jonathan Ragan-Kelley, Suvinay Subramanian, Michael Carbin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Match Unpaired Data with Minimum Entropy Coupling
Mustapha Bounoua, Giulio Franzese, Pietro Michiardi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge
Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E Weston, Tianlu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Quantize for Training Vector-Quantized Networks
Peijia Qin, Jianguo Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Reuse Policies in State Evolvable Environments
Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Route LLMs with Confidence Tokens
Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Steer Learners in Games
Yizhou Zhang, Yian Ma, Eric Mazumdar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Lorenzo Magnino, Yuchen Zhu, Mathieu Lauriere
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning with Exact Invariances in Polynomial Time
Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning with Expected Signatures: Theory and Applications
Lorenzo Lucchese, Mikko S. Pakkanen, Almut E. D. Veraart
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning with Selectively Labeled Data from Multiple Decision-makers
Jian Chen, Zhehao Li, Xiaojie Mao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning without Isolation: Pathway Protection for Continual Learning
Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors
Matei Gabriel Cosa, Marek Elias
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning-Augmented Hierarchical Clustering
Vladimir Braverman, Jon C. Ergun, Chen Wang, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis Titsias
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Philippe Hansen-Estruch, David Yan, Ching-Yao Chuang, Orr Zohar, Jialiang Wang, Tingbo Hou, Tao Xu, Sriram Vishwanath, Peter Vajda, Xinlei Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Learnware Specification via Dual Alignment
Wei Chen, Jun-Xiang Mao, Xiaozheng Wang, Min-Ling Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams
Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S Kevin Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective
Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Let LLM Tell What to Prune and How Much to Prune
Mingzhe Yang, Sihao Lin, Changlin Li, Xiaojun Chang
Machine Learning
日本大学: 関与なし（対象大学）