Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures

25 April 2023

Eugenia Iofinova

Alexandra Peste

Dan Alistarh

Papers citing "Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures"

6 / 6 papers shown

Title
GPTVQ: The Blessing of Dimensionality for LLM Quantization M. V. Baalen Andrey Kuzmin Markus Nagel Peter Couperus Cédric Bastoul E. Mahurin Tijmen Blankevoort Paul N. Whatmough MQ 34 28 0 23 Feb 2024
When does Bias Transfer in Transfer Learning? Hadi Salman Saachi Jain Andrew Ilyas Logan Engstrom Eric Wong A. Madry 38 34 0 06 Jul 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 139 684 0 31 Jan 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 148 345 0 23 Jul 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 314 4,203 0 23 Aug 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017