Papers
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms
Peng Qi, Yuyan Bu, Juan Cao et al.
FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning
Haiyun Li, Jixin Zhang, Ning Xu et al.
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers
Jiongzhi Zheng, Kun He, Jianrong Zhou
FastAMI – a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
Kai Klede, Leo Schwinn, Dario Zanca et al.
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
Ping Xue, Yang Lu, Jingfei Chang et al.
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
Tianlong Nan, Yuan Gao, Christian Kroer
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
Hossein Taheri, Christos Thrampoulidis
Fast Converging Anytime Model Counting
Yong Lai, Kuldeep S. Meel, Roland H.C. Yap
Fast Counterfactual Inference for History-Based Reinforcement Learning
Haichuan Gao, Tianren Zhang, Zhile Yang et al.
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.