Papers
8,127 papers found
fairGNN-WOD: Fair Graph Learning Without Complete Demographics
Zichong Wang, Fang Liu, Shimei Pan et al.
Fair Incomplete Multi-View Clustering via Distribution Alignment
Qianqian Wang, Haiming Xu, Meiling Liu et al.
Fairness-Aware Interactive Target Variable Definition
Dalia Gala, Milo Phillips-Brown, Naman Goel et al.
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
Changdi Yang, Zheng Zhan, Ci Zhang et al.
Fair Submodular Maximization over a Knapsack Constraint
Lijun Li, Chenyang Xu, Liuyi Yang et al.
FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance
Jiasong Feng, Ao Ma, Jing Wang et al.
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying et al.
Fast and Stronger Lower Bounds for Planar Euclidean Shortest Paths
Stefan Funke, Daniel Koch, Claudius Proissl et al.
FastBlend: Enhancing Video Stylization Consistency via Model-Free Patch Blending
Zhongjie Duan, Chengyu Wang, Cen Chen et al.
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
Saugat Adhikari, Da Yan, Tianyang Wang et al.
Fast Explanations via Policy Gradient-Optimized Explainer
Deng Pan, Nuno Moniz, Nitesh V. Chawla
Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm
Jiangjun Peng, Hailin Wang, Xiangyong Cao et al.
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition
Dongxie Wen, Xiao Zhang, Zhewei Wei et al.
Fault Diagnosis in REDNet Model Space
Xiren Zhou, Ziyu Tang, Shikang Liu et al.
FBQuant: FeedBack Quantization for Large Language Models
Yijiang Liu, Hengyu Fang, Liulu He et al.
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
Wei Chen, Zhao Zhang, Meng Yuan et al.
Featured Argumentation Framework: Semantics and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
Yuxia Sun, Aoxiang Sun, Siyi Pan et al.
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data
Sheng Huang, Lele Fu, Tianchi Liao et al.
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity
Pengfei Jiao, Zian Zhou, Meiting Xue et al.
FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation
Peng Wang, Shoupeng Lu, Hao Yin et al.
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation
Kaili Jin, Li Xu, Xiaoding Wang et al.
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks
Binbin Ding, Penghui Yang, Sheng-Jun Huang
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi, Sijin Zhou, Lei Meng et al.
Federated Domain Generalization with Decision Insight Matrix
Tianchi Liao, Binghui Xie, Lele Fu et al.