Papers
FD-UAD: Unsupervised Anomaly Detection Platform Based on Defect Autonomous Imaging and Enhancement
Yang Chang, Yuxuan Lin, Boyang Wang et al.
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains
Ke Hu, Liyao Xiang, Peng Tang et al.
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
Zhuohua Li, Maoli Liu, John C. S. Lui
Federated Adaptation for Foundation Model-based Recommendations
Chunxu Zhang, Guodong Long, Hongkuan Guo et al.
Federated Multi-View Clustering via Tensor Factorization
Wei Feng, Zhenwei Wu, Qianqian Wang et al.
Federated Prompt Learning for Weather Foundation Models on Devices
Shengchao Chen, Guodong Long, Tao Shen et al.
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise
Bixiao Zeng, Xiaodong Yang, Yiqiang Chen et al.
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu, Zhaorui Zhang, Sheng Di et al.
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
Zhiyuan Ning, Chunlin Tian, Meng Xiao et al.
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
Zhaopeng Peng, Xiaoliang Fan, Yufan Chen et al.
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
Liping Yi, Han Yu, Zhuan Shi et al.
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
Yinlin Zhu, Xunkai Li, Zhengyu Wu et al.
Feedback-Based Adaptive Crossover-Rate in Evolutionary Computation
Xiaoyuan Guan, Tianyi Yang, Chunliang Zhao et al.
Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search
Abbas Mehrabian, Ankit Anand, Hyunjik Kim et al.
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning
Hongbo Sun, Jiahuan Zhou, Xiangteng He et al.
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
Xuelin Zhang, Hong Chen, Bin Gu et al.
Fine-tuning Pre-trained Models for Robustness under Noisy Labels
Sumyeong Ahn, Sihyeon Kim, Jongwoo Ko et al.
Finite Groundings for ASP with Functions: A Journey through Consistency
Lukas Gerlach, David Carral, Markus Hecher
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation
Pengfei Wang, Nenggan Zheng
First-Order Progression beyond Local-Effect and Normal Actions
Daxin Liu, Jens Claßen
Fitness Activity Recognition Using a Novel Pressure Sensing Mat and Machine Learning for the Future of Accessible Training
Katia Bourahmoune, Karlos Ishac, Marc Carmichael
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
Tianfu Wang, Qilin Fan, Chao Wang et al.
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
Chenhui Wang, Tao Chen, Zhihao Chen et al.
Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition
Bangbang Zhou, Yadong Qu, Zixiao Wang et al.
Formal Argumentation in Symbolic AI
Markus Ulbricht