Fairness and Robustness in Invariant Learning: A Case Study in Toxicity
Classification

Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification

12 November 2020

Papers citing "Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification"

15 / 15 papers shown

Title
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 33 4 0 21 Nov 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju K. Ramamurthy Kush R. Varshney 30 1 0 17 Feb 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 26 2 0 28 Jan 2023
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 36 10 0 20 Sep 2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications Abdulaziz A. Almuzaini C. Bhatt David M. Pennock V. Singh FaML 30 10 0 14 Jun 2022
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models Esma Balkir S. Kiritchenko I. Nejadgholi Kathleen C. Fraser 21 36 0 08 Jun 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 15 27 0 11 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 78 0 06 May 2022
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection Eike Petersen Aasa Feragen Maria Luise da Costa Zemsch A. Henriksen Oskar Eiler Wiese Christensen M. Ganz OOD 21 27 0 04 Apr 2022
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 36 1 0 17 Dec 2021
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 41 234 0 02 Sep 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 26 59 0 20 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 62 1,377 0 14 Dec 2020
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection Ameya Vaidya Feng Mai Yue Ning 112 21 0 21 Sep 2019