Papers
Fair Influence Maximization: a Welfare Optimization Approach
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju et al.
Fairness-aware News Recommendation with Decomposed Adversarial Learning
Chuhan Wu, Fangzhao Wu, Xiting Wang et al.
Fairness in Forecasting and Learning Linear Dynamical Systems
Quan Zhou, Jakub Marecek, Robert N. Shorten
Fairness in Influence Maximization through Randomization
Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi et al.
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints
Brian Brubach, Darshan Chakrabarti, John P. Dickerson et al.
Fair Representations by Compression
Xavier Gitiaux, Huzefa Rangwala
Fair Stable Matchings Under Correlated Preferences (Student Abstract)
Angelina Brilliantova, Hadi Hosseini
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks
Maurício Gruppi, Pin-Yu Chen, Sibel Adali
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce
Yanhao Zhang, Qiang Wang, Pan Pan et al.
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
Tan Yu, Xiaoyun Li, Ping Li
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Huimin Wu, Zhengmian Hu, Bin Gu
Faster and Better Simple Temporal Problems
Dario Ostuni, Alice Raffaele, Romeo Rizzi et al.
Faster Depth-Adaptive Transformers
Yijin Liu, Fandong Meng, Jie Zhou et al.
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Faster Stackelberg Planning via Symbolic Search and Information Sharing
Álvaro Torralba, Patrick Speicher, Robert Künnemann et al.
Fast Multi-view Discrete Clustering with Anchor Graphs
Qianyao Qiang, Bin Zhang, Fei Wang et al.
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection
Matteo Pegoraro, Mario Beraha
Fast Training of Provably Robust Neural Networks by SingleProp
Akhilan Boopathy, Lily Weng, Sijia Liu et al.
f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search
Eli Boyarski, Ariel Felner, Pierre Le Bodic et al.
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion
Lina Liu, Xibin Song, Xiaoyang Lyu et al.
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin, Arezou Amini, Lucy Coyle et al.
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai et al.
Federated Multi-Armed Bandits
Chengshuai Shi, Cong Shen
FedRec++: Lossless Federated Recommendation with Explicit Feedback
Feng Liang, Weike Pan, Zhong Ming
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
Songlin Dong, Xiaopeng Hong, Xiaoyu Tao et al.