Fairness and robustness in anti-causal prediction

20 September 2022

Papers citing "Fairness and robustness in anti-causal prediction"

30 / 30 papers shown

Title
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 205 2 0 05 Oct 2024
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification Yada Pruksachatkun Satyapriya Krishna Jwala Dhamala Rahul Gupta Kai-Wei Chang 48 33 0 21 Jun 2021
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests Victor Veitch Alexander DÁmour Steve Yadlowsky Jacob Eisenstein OOD 48 92 0 31 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 63 74 0 13 May 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 109 102 0 18 Jan 2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix Ruocheng Guo Pengchuan Zhang Hao Liu Emre Kıcıman OOD 66 38 0 16 Jan 2021
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 62 43 0 12 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 107 685 0 06 Nov 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 57 382 0 14 Oct 2020
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts Sarah Jabbour David Fouhey Ella Kazerooni Michael Sjoding Jenna Wiens OOD 45 49 0 21 Sep 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 182 379 0 09 May 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 198 2,044 0 16 Apr 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 298 931 0 02 Mar 2020
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 85 1,236 0 20 Nov 2019
Toward a better trade-off between performance and fairness with kernel-based distribution matching Flavien Prost Hai Qian Qiuwen Chen Ed H. Chi Jilin Chen Alex Beutel FaML 64 44 0 25 Oct 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 177 2,218 0 05 Jul 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 89 1,836 0 06 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 110 2,583 0 21 Jan 2019
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 59 358 0 25 Nov 2018
Generalisation in humans and deep neural networks Robert Geirhos Carlos R. Medina Temme Jonas Rauber Heiko H. Schutt Matthias Bethge Felix Wichmann OOD 107 606 0 27 Aug 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 90 845 0 13 Jul 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 68 560 0 30 May 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 63 337 0 22 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 360 681 0 17 Feb 2018
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 103 581 0 08 Jun 2017
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 49 351 0 29 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 199 1,576 0 20 Mar 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 198 4,301 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 717 36,708 0 25 Aug 2016
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 198 633 0 03 Nov 2015