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"

16 / 16 papers shown

Title
GMP*: Well-Tuned Gradual Magnitude Pruning Can Outperform Most BERT-Pruning Methods Eldar Kurtic Dan Alistarh AI4MH 43 14 0 12 Oct 2022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models Eldar Kurtic Daniel Fernando Campos Tuan Nguyen Elias Frantar Mark Kurtz Ben Fineran Michael Goin Dan Alistarh VLM MQ MedIm 62 122 0 14 Mar 2022
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression Canwen Xu Wangchunshu Zhou Tao Ge Kelvin J. Xu Julian McAuley Furu Wei 38 41 0 07 Sep 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 55 74 0 01 Jul 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 67 159 0 17 Jun 2021
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Lucas Liebenwein Cenk Baykal Brandon Carter David K Gifford Daniela Rus AAML 49 72 0 04 Mar 2021
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 253 703 0 31 Jan 2021
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 51 67 0 16 Dec 2020
The iWildCam 2020 Competition Dataset Sara Beery Elijah Cole Arvi Gjoka 108 91 0 21 Apr 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity Aditya Kusupati Vivek Ramanujan Raghav Somani Mitchell Wortsman Prateek Jain Sham Kakade Ali Farhadi 99 243 0 08 Feb 2020
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 138 592 0 25 Nov 2019
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 135 1,262 0 05 Oct 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian Christoph H. Lampert Bernt Schiele Zeynep Akata VLM 123 1,554 0 03 Jul 2017
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 1.1K 20,747 0 17 Apr 2017
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 247 6,628 0 08 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 203 18,534 0 06 Feb 2015