Selective Classification Can Magnify Disparities Across Groups

Selective Classification Can Magnify Disparities Across Groups

27 October 2020

Papers citing "Selective Classification Can Magnify Disparities Across Groups"

14 / 14 papers shown

Title
Interpretable and Fair Mechanisms for Abstaining Classifiers Daphne Lenders Andrea Pugnana Roberto Pellungrini Toon Calders D. Pedreschi F. Giannotti FaML 93 1 0 24 Mar 2025
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 Feb 2024
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation Vaishnavi Shrivastava Percy Liang Ananya Kumar 28 28 0 15 Nov 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 30 4 0 13 Dec 2022
AUC-based Selective Classification Andrea Pugnana Salvatore Ruggieri 26 9 0 19 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 47 38 0 18 Jul 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 29 21 0 26 May 2022
Reasoning over Public and Private Data in Retrieval-Based Systems Simran Arora Patrick Lewis Angela Fan Jacob Kahn Christopher Ré 28 23 0 14 Mar 2022
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 18 25 0 19 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 30 118 0 12 Jun 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 103 1,383 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015