Papers
11,951 papers found
Feature-Based Online Bilateral Trade
Solenne Gaucher, Martino Bernasconi, Matteo Castiglioni et al.
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon, Anneke Wernerfelt, Sorelle Friedler et al.
Federated $Q$-Learning with Reference-Advantage Decomposition: Almost Optimal Regret and Logarithmic Communication Cost
Zhong Zheng, Haochen Zhang, Lingzhou Xue
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
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
Giuseppe Serra, Florian Buettner
Federated Domain Generalization with Data-free On-server Matching Gradient
Trong Binh Nguyen, Duong Minh Nguyen, Jinsun Park et al.
Federated Few-Shot Class-Incremental Learning
Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu et al.
Federated Granger Causality Learning For Interdependent Clients With State Space Representation
Ayush Mohanty, Nazal Mohamed, Paritosh Ramanan et al.
Federated Residual Low-Rank Adaptation of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi, Jinmeng Li, He Zhao et al.
FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine
Shannon How Shi Qi, Jagmohan Chauhan, Geoff V. Merrett et al.
Feedback Favors the Generalization of Neural ODEs
Jindou Jia, Zihan Yang, Meng Wang et al.
Feedback Schrödinger Bridge Matching
Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli et al.
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
Rui Pu, Chaozhuo Li, Rui Ha et al.
Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
Alberto Pepe, Mattia Montanari, Joan Lasenby
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms
Zhangheng LI, Keen You, Haotian Zhang et al.
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
Bryan Bo Cao, Lawrence O'Gorman, Michael Coss et al.
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li et al.
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
Xi Lin, Yilu Liu, Xiaoyuan Zhang et al.
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng, Farhad Shirani, Zhuomin Chen et al.
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning
Yujian Liu, Shiyu Chang, Tommi Jaakkola et al.
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Keisuke Kamahori, Tian Tang, Yile Gu et al.
Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation
Kangfu Mei, Mo Zhou, Vishal M. Patel
FIG: Flow with Interpolant Guidance for Linear Inverse Problems
Yici Yan, Yichi Zhang, Xiangming Meng et al.
Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur, Anastasis Kratsios, Florian Krach et al.