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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
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu, Emmanuel Esposito, Mengxiao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models
Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
Yuki Takezawa [京都大学] [沖縄科学技術大学院大学], Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich
Machine Learning
日本大学: 京都大学 / 沖縄科学技術大学院大学
2025 · ICML
Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning
Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploring Invariance in Images through One-way Wave Equations
Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin, Théo Bontempelli, Thomas Bouabça, Tristan Cazenave
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploring Representations and Interventions in Time Series Foundation Models
Michał Wiliński, Mononito Goswami, Willa Potosnak, Nina Żukowska, Artur Dubrawski
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding
Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang, Feng Wu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramèr, Chiyuan Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Exponential Family Variational Flow Matching for Tabular Data Generation
Andrés Guzmán-Cordero, Floor Eijkelboom, Jan-Willem Van De Meent
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs
Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
Ziyu Gong, Jim Lim, David I. Inouye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs
Rongyu Chen, Li’An Zhuo, Linlin Yang, Qi Wang, Liefeng Bo, Bang Zhang, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Extracting Rare Dependence Patterns via Adaptive Sample Reweighting
Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
Jiahai Feng, Stuart Russell, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Extreme Value Policy Optimization for Safe Reinforcement Learning
Shiqing Gao, Yihang Zhou, Shuai Shao, Haoyu Luo, Yiheng Bing, Jiaxin Ding, Luoyi Fu, Xinbing Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
Stefano Cortinovis, Francois Caron
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
Arya Fayyazi, Mehdi Kamal, Massoud Pedram
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FDGen: A Fairness-Aware Graph Generation Model
Zichong Wang, Wenbin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
Kei Sen Fong, Mehul Motani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FG-CLIP: Fine-Grained Visual and Textual Alignment
Chunyu Xie, Bin Wang, Fanjing Kong, Jincheng Li, Dawei Liang, Gengshen Zhang, Dawei Leng, Yuhui Yin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FLAM: Frame-Wise Language-Audio Modeling
Yusong Wu, Christos Tsirigotis, Ke Chen, Cheng-Zhi Anna Huang, Aaron Courville, Oriol Nieto, Prem Seetharaman, Justin Salamon
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making
Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
Philip Zmushko, Aleksandr Beznosikov, Martin Takáč, Samuel Horváth
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley, Jia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu, Gao Cong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fair Clustering via Alignment
Kunwoong Kim, Jihu Lee, Sangchul Park, Yongdai Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
Yuheng Lai, Leying Guan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FairPFN: A Tabular Foundation Model for Causal Fairness
Jake Robertson, Noah Hollmann, Samuel Müller, Noor Awad, Frank Hutter
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
Firas Laakom, Haobo Chen, Jürgen Schmidhuber, Yuheng Bu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Falcon: Fast Visuomotor Policies via Partial Denoising
Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
False Coverage Proportion Control for Conformal Prediction
Alexandre Blain, Bertrand Thirion, Pierre Neuvial
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Rickard Karlsson, Jh Krijthe
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Estimation of Partial Dependence Functions using Trees
Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Exact Unlearning for In-Context Learning Data for LLMs
Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang, Nicolas Papernot
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
Yalan Qin, Guorui Feng, Xinpeng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Inference with Kronecker-Sparse Matrices
Antoine Gonon, Léon Zheng, Pascal Carrivain, Tung Quoc Le
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Large Language Model Collaborative Decoding via Speculation
Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng, Xu Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Min-$ε$ Segmented Regression using Constant-Time Segment Merging
Ansgar Lößer, Max Schlecht, Florian Schintke, Joel Witzke, Matthias Weidlich, Björn Scheuermann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Tensor Completion via Approximate Richardson Iteration
Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast Video Generation with Sliding Tile Attention
Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica, Zhengzhong Liu, Hao Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo, Chenghao Qiu, Maojiang Su, Zhihan Zhou, Zoe Mehta, Guo Ye, Jerry Yao-Chieh Hu, Han Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
Jian-Feng Cai, Zhuozhi Xian, Jiaxi Ying
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang, Mariam Avagyan, Yihan Shen, Arnaud Lamy, Tingran Wang, Szabolcs Marka, Zsuzsanna Marka, John Wright
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Faster Approximation Algorithms for k-Center via Data Reduction
Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li, Anurag Murty Naredla, Ioannis Psarros, Qiaoyuan Yang, Qin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Faster Global Minimum Cut with Predictions
Helia Niaparast, Benjamin Moseley, Karan Singh
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Faster Rates for Private Adversarial Bandits
Hilal Asi, Vinod Raman, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching
Amit Attia, Ofir Gaash, Tomer Koren
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
Zecheng Hao, Qichao Ma, Kang Chen, Yi Zhang, Zhaofei Yu, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FeatSharp: Your Vision Model Features, Sharper
Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feature Importance Metrics in the Presence of Missing Data
Henrik Von Kleist, Joshua Wendland, Ilya Shpitser, Carsten Marr
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou, Hang Le, Yichen Wang, Sueyeon Chung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feature Shift Localization Network
Mı́riam Barrabés, Daniel Mas Montserrat, Kapal Dev, Alexander G. Ioannidis
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
Fabiola Ricci, Lorenzo Bardone, Sebastian Goldt
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feature out! Let Raw Image as Your Condition for Blind Face Restoration
Xinmin Qiu, Chen Gege, Bonan Li, Congying Han, Tiande Guo, Zicheng Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
Aleksandr Kolomeitsev, Anh-Huy Phan
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Features are fate: a theory of transfer learning in high-dimensional regression
Javan Tahir, Surya Ganguli, Grant M. Rotskoff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini, Marco Savi, Giovanni Neglia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedClean: A General Robust Label Noise Correction for Federated Learning
Xiaoqian Jiang, Jing Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal, Gauri Joshi, Lawrence Pileggi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
Chengying Fang, Wenke Huang, Guancheng Wan, Yihao Yang, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
Xinyi Lu, Hao Zhang, Chenglin Li, Weijia Lu, Zhifei Yang, Wenrui Dai, Xiaodong Zhang, Xiaofeng Ma, Can Zhang, Junni Zou, Hongkai Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Causal Structure Learning with Non-identical Variable Sets
Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation
Yihao Yang, Wenke Huang, Guancheng Wan, Bin Yang, Mang Ye
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework
Terje Mildner, Oliver Hamelijnck, Paris Giampouras, Theodoros Damoulas
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C.S. Lui, Dongruo Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Learning for Feature Generalization with Convex Constraints
Dongwon Kim, Donghee Kim, Sung Kuk Shyn, Kwangsu Kim
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Node-Level Clustering Network with Cross-Subgraph Link Mending
Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu, Jieren Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework
Guan Huang, Tao Shu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feedforward Few-shot Species Range Estimation
Christian Lange, Max Hamilton, Elijah Cole, Alexander Shepard, Samuel Heinrich, Angela Zhu, Subhransu Maji, Grant Van Horn, Oisin Mac Aodha
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Few-Shot Learner Generalizes Across AI-Generated Image Detection
Shiyu Wu, Jing Liu, Jing Li, Yequan Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts
Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alan Aspuru-Guzik, Arnaud Doucet, Rob Brekelmans, Alexander Tong, Kirill Neklyudov
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
Alexander Kolesov, S. I. Manukhov, Vladimir Vladimirovich Palyulin, Alexander Korotin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness
Yuntao Wang, Yuxuan Li, Qingyuan Yang, Hu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
Sanghyeok Chu, Seonguk Seo, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games
Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Lauriere, Eric Moulines
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Finite-Time Analysis of Discrete-Time Stochastic Interpolants
Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy, Sewoong Oh, Lillian J. Ratliff
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning
Zhiyao Zhang, Myeung Suk Oh, Fnu Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Yingying Deng, Xiangyu He, Changwang Mei, Peisong Wang, Fan Tang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
Yu Xin Li, Felix Dangel, Derek Tam, Colin Raffel
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Joseph Lazzaro, Ciara Pike-Burke
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
Christopher Subich, Syed Zahid Husain, Leo Separovic, Jing Yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification
Kapilan Balagopalan, Ngo Tuan Nguyen, Yao Zhao, Kwang-Sung Jun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials
Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape
Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICML
FlatQuant: Flatness Matters for LLM Quantization
Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao
Machine Learning
日本大学: 関与なし（対象大学）