FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling

FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling

1 March 2023

Randall Balestriero

Papers citing "FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling"

14 / 14 papers shown

Title
Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation Estanislao Claucich Sara Hooker Diego H. Milone Enzo Ferrante Rodrigo Echeveste FedML 42 0 0 24 Jan 2025
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 20 1 0 17 Oct 2024
On the Limitations of Compute Thresholds as a Governance Strategy Sara Hooker 45 14 0 08 Jul 2024
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 42 2 0 06 Dec 2023
Training Dynamics of Deep Network Linear Regions Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk 26 3 0 19 Oct 2023
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging Max Zimmer Christoph Spiegel S. Pokutta MoMe 41 14 0 29 Jun 2023
Evaluating the Social Impact of Generative AI Systems in Systems and Society Irene Solaiman Zeerak Talat William Agnew Lama Ahmad Dylan K. Baker ... Marie-Therese Png Shubham Singh A. Strait Lukas Struppek Arjun Subramonian ELM EGVM 31 103 0 09 Jun 2023
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 19 74 0 26 Oct 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 191 128 0 19 May 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,600 0 04 May 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 0 19 Apr 2021
Anti-Distillation: Improving reproducibility of deep networks G. Shamir Lorenzo Coviello 34 20 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014