Papers
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser, Stephan Günnemann, Zachary Lipton
Fair Algorithms for Clustering
Suman Bera, Deeparnab Chakrabarty, Nicolas Flores et al.
Fair Allocation of Indivisible Goods and Chores
Haris Aziz, Ioannis Caragiannis, Ayumi Igarashi et al.
Fair and Efficient Memory Sharing: Confronting Free Riders
Eric J. Friedman, Vasilis Gkatzelis, Christos-Alexandros Psomas et al.
Fair and Explainable Dynamic Engagement of Crowd Workers
Han Yu, Yang Liu, Xiguang Wei et al.
Fair Division with a Secretive Agent
Eshwar Ram Arunachaleswaran, Siddharth Barman, Nidhi Rathi
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern
Fair Knapsack
Till Fluschnik, Piotr Skowron, Mervin Triphaus et al.
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition
Bingyu Liu, Weihong Deng, Yaoyao Zhong et al.
Fairly Allocating Many Goods with Few Queries
Hoon Oh, Ariel D. Procaccia, Warut Suksompong
Fairness-Aware Learning for Continuous Attributes and Treatments
Jeremie Mary, Clément Calauzènes, Noureddine El Karoui
Fairness Constraints: A Flexible Approach for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez et al.
Fairness risk measures
Robert Williamson, Aditya Menon
Fairness Towards Groups of Agents in the Allocation of Indivisible Items
Nawal Benabbou, Mithun Chakraborty, Edith Elkind et al.
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
Berk Ustun, Yang Liu, David Parkes
Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging
Enrico H. Gerding, Alvaro Perez-Diaz, Haris Aziz et al.
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
Alekh Agarwal, Miroslav Dudik, Zhiwei Steven Wu
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott, Sergey Edunov, Alexei Baevski et al.
Fairwalk: Towards Fair Graph Embedding
Tahleen Rahman, Bartlomiej Surma, Michael Backes et al.
Fairwashing: the risk of rationalization
Ulrich Aivodji, Hiromi Arai, Olivier Fortineau et al.
Faithful Multimodal Explanation for Visual Question Answering
Jialin Wu, Raymond Mooney
Fake It Till You Make It: Learning-Compatible Performance Support
Jonathan Bragg, Emma Brunskill
Fake News Detection using Deep Markov Random Fields
Duc Minh Nguyen, Tien Huu Do, Robert Calderbank et al.
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data
Haipeng Chen, Sushil Jajodia, Jing Liu et al.