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2022–2026 LIVE

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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
Ensembles of Low-Rank Expert Adapters
Yinghao Li, Vianne Gao, Chao Zhang, MohamadAli Torkamani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Ensembling Diffusion Models via Adaptive Feature Aggregation
Cong Wang, kuan tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions
Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Episodic Memories Generation and Evaluation Benchmark for Large Language Models
Alexis Huet, Zied Houidi, Dario Rossi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Episodic Novelty Through Temporal Distance
Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo XU, Chongjie Zhang, Qianchuan Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Epistemic Monte Carlo Tree Search
Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EqNIO: Subequivariant Neural Inertial Odometry
Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang, Evangelos Chatzipantazis, Kostas Daniilidis, Daniel Gehrig
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
Najwa Laabid, Severi Rissanen, Markus Heinonen, Arno Solin, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Equivariant Masked Position Prediction for Efficient Molecular Representation
Junyi An, Chao Qu, Yun-Fei Shi, XinHao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Equivariant Neural Functional Networks for Transformers
Viet-Hoang Tran, Thieu Vo, An Nguyen, Tho-Huu Tran, Minh-Khoi Nguyen-Nhat, Thanh Tran, Duy-Tung Pham, Tan Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Erasing Concept Combination from Text-to-Image Diffusion Model
hongyi nie, Quanming Yao, Yang Liu, Zhen Wang, Yatao Bian
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Estimating the Probabilities of Rare Outputs in Language Models
Gabriel Wu, Jacob Hilton
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement
Stathis Megas, Daniel Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schönlieb, Sarah Teichmann
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
EvA: Erasing Spurious Correlations with Activations
Qiyuan He, Kai Xu, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study
Lili Zhao, Yang Wang, Qi Liu, Mengyun Wang, Wei Chen, Zhichao Sheng, Shijin Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
Xiangru Zhu, Penglei Sun, Yaoxian Song, Yanghua Xiao, Zhixu Li, Chengyu Wang, Jun Huang, Bei Yang, Xiaoxiao Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Event-Driven Online Vertical Federated Learning
Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?
Maxime Méloux, Silviu Maniu, François Portet, Maxime Peyrard
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
Lile Cai, Chuan Sheng Foo, Xun Xu, ZAIWANG GU, Jun Cheng, xulei yang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning
Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
Buu Phan, Brandon Amos, Itai Gat, Marton Havasi, Matthew J Muckley, Karen Ullrich
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exact Certification of (Graph) Neural Networks Against Label Poisoning
Mahalakshmi Sabanayagam, Lukas Gosch, Stephan Günnemann, Debarghya Ghoshdastidar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exact Community Recovery under Side Information: Optimality of Spectral Algorithms
Julia Gaudio, Nirmit Joshi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara E Hammer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes
Sullam Jeoung, Yubin Ge, Haohan Wang, Jana Diesner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Execution-guided within-prompt search for programming-by-example
Gust Verbruggen, Ashish Tiwari, Mukul Singh, Vu Le, Sumit Gulwani
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
Wei Chen, Yuxuan Liang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Expected Return Symmetries
Darius Muglich, Johannes Forkel, Elise van der Pol, Jakob Foerster
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Expected Sliced Transport Plans
Xinran Liu, Rocio Diaz Martin, Yikun Bai, Ashkan Shahbazi, Matthew Thorpe, Akram Aldroubi, Soheil Kolouri
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
Shahaf Bassan, Ron Eliav, Shlomit Gur
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation
Itamar Zimerman, ameen ali ali, Lior Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
Yazheng Liu, Sihong Xie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
Mohammad Omama, Po-han Li, Sandeep Chinchali
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
Du Chen, Geoffrey A. Chua
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
Wenhao Zhan, Scott Fujimoto, Zheqing Zhu, Jason Lee, Daniel Jiang, Yonathan Efroni
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
Tengyang Xie, Dylan Foster, Akshay Krishnamurthy, Corby Rosset, Ahmed H Awadallah, Alexander Rakhlin
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning
Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi, Yulia Tsvetkov, Yonatan Bisk, Yejin Choi, Asli Celikyilmaz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring Learning Complexity for Efficient Downstream Dataset Pruning
Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring Local Memorization in Diffusion Models via Bright Ending Attention
Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View
Xuan Liu, Jie ZHANG, HaoYang Shang, Song Guo, Chengxu Yang, Quanyan Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness
Xianglu Wang, Hu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality
Sungyoon Kim, Aaron Mishkin, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring a Principled Framework for Deep Subspace Clustering
Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
Sabrina Herbst, Sandeep Cranganore, Vincenzo De Maio, Ivona Brandić
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring the Camera Bias of Person Re-identification
Myungseo Song, Jin-Woo Park, Jong-Seok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring the Design Space of Visual Context Representation in Video MLLMs
Yifan Du, Yuqi Huo, Kun Zhou, Zijia Zhao, Haoyu Lu, Han Huang, Xin Zhao, Bingning Wang, Weipeng Chen, Ji-Rong Wen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
Amir Mohammad Karimi Mamaghan, Samuele Papa, Karl H. Johansson, Stefan Bauer, Andrea Dittadi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exponential Topology-enabled Scalable Communication in Multi-agent Reinforcement Learning
Xinran Li, Xiaolu Wang, Chenjia Bai, Jun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Exposure Bracketing Is All You Need For A High-Quality Image
Zhilu Zhang, Shuohao Zhang, Renlong Wu, Zifei Yan, Wangmeng Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Expressivity of Neural Networks with Random Weights and Learned Biases
Ezekiel Williams, Alexandre Payeur, Avery Ryoo, Thomas Jiralerspong, Matthew Perich, Luca Mazzucato, Guillaume Lajoie
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Extendable and Iterative Structure Learning Strategy for Bayesian Networks
Hamid Kalantari, Russell Greiner, Pouria Ramazi
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Extending Mercer's expansion to indefinite and asymmetric kernels
Sungwoo Jeong, Alex Townsend
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FACTS: A Factored State-Space Framework for World Modelling
Li Nanbo, Firas Laakom, Yucheng XU, Wenyi Wang, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FIG: Flow with Interpolant Guidance for Linear Inverse Problems
Yici Yan, Yichi Zhang, XIANGMING MENG, Zhizhen Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FIRING-Net: A filtered feature recycling network for speech enhancement
Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
Chongkai Gao, Haozhuo Zhang, Zhixuan Xu, Cai Zhehao, Lin Shao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FLOPS: Forward Learning with OPtimal Sampling
Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang Zhang, Mingqian Feng, Yijie Peng
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FOSP: Fine-tuning Offline Safe Policy through World Models
Chenyang Cao, Yucheng Xin, Silang Wu, Longxiang He, Zichen Yan, Junbo Tan, Xueqian Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FaceShot: Bring Any Character into Life
Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing, Kai Chen, Cai Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
Mingyang Chen, sunhaoze, Tianpeng Li, Fan Yang, Hao Liang, KeerLu, Bin CUI, Wentao Zhang, Zenan Zhou, Weipeng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Factor Graph-based Interpretable Neural Networks
Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models
Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristobal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fair Clustering in the Sliding Window Model
Vincent Cohen-Addad, Shaofeng Jiang, Qiaoyuan Yang, Yubo Zhang, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fair Submodular Cover
Wenjing Chen, Shuo Xing, Samson Zhou, Victoria Crawford
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FairDen: Fair Density-Based Clustering
Lena Krieger, Anna Beer, Pernille Matthews, Anneka Thiesson, Ira Assent
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Zhipei Xu, Xuanyu Zhang, Runyi Li, Zecheng Tang, Qing Huang, Jian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fantastic Copyrighted Beasts and How (Not) to Generate Them
Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
Anh Bui, Thuy-Trang Vu, Long Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
Kim Yong Tan, YUEMING LYU, Ivor Tsang, Yew-Soon Ong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast Feedforward 3D Gaussian Splatting Compression
Yihang Chen, Qianyi Wu, Mengyao Li, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich, Tim Jahn, Michael Quellmalz
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
Taesun Yeom, Sangyoon Lee, Jaeho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast Uncovering of Protein Sequence Diversity from Structure
Luca Alessandro Silva, Barthelemy Meynard-Piganeau, Carlo Lucibello, Christoph Feinauer
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast and Accurate Blind Flexible Docking
Zizhuo Zhang, Lijun Wu, Kaiyuan Gao, Jiangchao Yao, Tao Qin, Bo Han
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
Ying-yee Ava Lau, Zhiwen Shao, Dit-Yan Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast training and sampling of Restricted Boltzmann Machines
Nicolas BEREUX, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fast unsupervised ground metric learning with tree-Wasserstein distance
Kira Michaela Düsterwald, Samo Hromadka, Makoto Yamada
Machine Learning
日本大学: 沖縄科学技術大学院大学
2025 · ICLR
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
Yuzhou Gu, Zhao Song, Lichen Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Faster Cascades via Speculative Decoding
Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Faster Diffusion Sampling with Randomized Midpoints: Sequential and Parallel
Shivam Gupta, Linda Cai, Sitan Chen
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Faster Inference of Flow-Based Generative Models via Improved Data-Noise Coupling
Aram Davtyan, Leello Dadi, Volkan Cevher, Paolo Favaro
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
Zhengyao Lyu, Chenyang Si, Junhao Song, Zhenyu Yang, Yu Qiao, Ziwei Liu, Kwan-Yee K Wong
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies
Lingwei Zhu, Han Wang, Yukie Nagai
Machine Learning
日本大学: 東京大学
2025 · ICLR
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon, Anneke Wernerfelt, Sorelle Friedler, Berk Ustun
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Feature-Based Online Bilateral Trade
Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Vianney Perchet
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine
Shannon How, Jagmohan Chauhan, Geoff Merrett, Jonathon Hare
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
Zhong Zheng, Haochen Zhang, Lingzhou Xue
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori, IL-MIN KIM, Guanghui Wang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
Giuseppe Serra, Florian Buettner
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Federated Domain Generalization with Data-free On-server Matching Gradient
Binh Nguyen, Minh-Duong Nguyen, Jinsun Park, Viet Pham, Won-Joo Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Federated Few-Shot Class-Incremental Learning
Muhammad Anwar Masum, Mahardhika Pratama, Lin Liu, H Habibullah, Ryszard Kowalczyk
Machine Learning
日本大学: 関与なし（対象大学）
2025 · ICLR
Federated Granger Causality Learning For Interdependent Clients With State Space Representation
Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan, Nagi Gebraeel
Machine Learning
日本大学: 関与なし（対象大学）