Papers
FASTDIAGP: An Algorithm for Parallelized Direct Diagnosis
Viet-Man Le, Cristian Vidal Silva, Alexander Felfernig et al.
Faster Adaptive Federated Learning
Xidong Wu, Feihu Huang, Zhengmian Hu et al.
Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples
Zhou Zhai, Lei Luo, Heng Huang et al.
Fast Fluid Simulation via Dynamic Multi-Scale Gridding
Jinxian Liu, Ye Chen, Bingbing Ni et al.
Fast Offline Policy Optimization for Large Scale Recommendation
Otmane Sakhi, David Rohde, Alexandre Gilotte
Fast Online Hashing with Multi-Label Projection
Wenzhe Jia, Yuan Cao, Junwei Liu et al.
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
Yasutoshi Ida, Sekitoshi Kanai, Kazuki Adachi et al.
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks
Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida
Fault Injection Based Interventional Causal Learning for Distributed Applications
Qing Wang, Jesus Rios, Saurabh Jha et al.
Fault-Tolerant Offline Multi-Agent Path Planning
Keisuke Okumura, Sébastien Tixeuil
FC-TrackNet: Fast Convergence Net for 6D Pose Tracking in Synthetic Domains
Di Jia, Qian Wang, Jun Cao et al.
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract)
Jie Zhou, Qian Yu, Chuan Luo et al.
Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification
Xin Wei, Wei Du, Huan Wan et al.
Feature-Level Debiased Natural Language Understanding
Yougang Lyu, Piji Li, Yechang Yang et al.
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks
Mahshid Hosseini, Cornelia Caragea
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
Bao Gia Doan, Shuiqiao Yang, Paul Montague et al.
FedABC: Targeting Fair Competition in Personalized Federated Learning
Dui Wang, Li Shen, Yong Luo et al.
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang, Yang Hua, Hao Wang et al.
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
Zuobin Xiong, Wei Li, Zhipeng Cai
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long et al.
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning
Junyuan Hong, Haotao Wang, Zhangyang Wang et al.
FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability
Zheng Wang, Xiaoliang Fan, Jianzhong Qi et al.
FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces
Mengfei Xia, Yezhi Shu, Yuji Wang et al.
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
Zibin Pan, Shuyi Wang, Chi Li et al.
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation
Xueyang Wu, Hengguan Huang, Youlong Ding et al.