Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via
Data Selection

Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection

24 June 2024

Kristian Georgiev

Andrew Ilyas

Marzyeh Ghassemi

Aleksander Madry

Papers citing "Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection"

6 / 6 papers shown

Title
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 77 180 0 06 Feb 2024
Simple and Fast Group Robustness by Automatic Feature Reweighting Shi Qiu Andres Potapczynski Pavel Izmailov A. Wilson OOD 49 53 0 19 Jun 2023
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 164 89 0 02 Dec 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 368 0 09 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019