Pruning has a disparate impact on model accuracy

26 May 2022

Rakshit Naidu

Papers citing "Pruning has a disparate impact on model accuracy"

32 / 32 papers shown

Title
Zero-shot Quantization: A Comprehensive Survey Minjun Kim Jaehyeon Choi Jongkeun Lee Wonjin Cho U. Kang MQ 18 0 0 14 May 2025
MGS: Markov Greedy Sums for Accurate Low-Bitwidth Floating-Point Accumulation Vikas Natesh H. T. Kung David Kong 19 0 0 12 Apr 2025
MicroNAS: An Automated Framework for Developing a Fall Detection System Seyed Mojtaba Mohasel John Sheppard Lindsey K. Molina Richard R. Neptune Shane R. Wurdeman Corey A. Pew 27 1 0 10 Apr 2025
An Efficient Training Algorithm for Models with Block-wise Sparsity Ding Zhu Zhiqun Zuo Mohammad Mahdi Khalili 37 0 0 27 Mar 2025
As easy as PIE: understanding when pruning causes language models to disagree Pietro Tropeano Maria Maistro Tuukka Ruotsalo Christina Lioma 55 0 0 27 Mar 2025
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives Dilermando Queiroz Anderson Carlos André Anjos Lilian Berton 45 0 0 24 Feb 2025
You Never Know: Quantization Induces Inconsistent Biases in Vision-Language Foundation Models Eric Slyman Anirudh Kanneganti Sanghyun Hong Stefan Lee VLM MQ 34 0 0 26 Oct 2024
FairLoRA: Unpacking Bias Mitigation in Vision Models with Fairness-Driven Low-Rank Adaptation Rohan Sukumaran Aarash Feizi Adriana Romero-Sorian G. Farnadi 39 1 0 22 Oct 2024
Superficial Safety Alignment Hypothesis Jianwei Li Jung-Eun Kim 24 1 0 07 Oct 2024
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning Yuyang Xue Junyu Yan Raman Dutt Fasih Haider Jingshuai Liu Steven G. McDonagh Sotirios A. Tsaftaris 29 1 0 13 Aug 2024
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness Ferdinando Fioretto Diptangshu Sen Juba Ziani 37 1 0 08 Aug 2024
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives Huanrui Yang Yafeng Huang Zhen Dong Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata Yuan Du Kurt Keutzer Shanghang Zhang MQ 49 0 0 03 Jul 2024
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging Jinuk Kim Marwa El Halabi Mingi Ji Hyun Oh Song 39 0 0 18 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 32 2 0 03 Jun 2024
On Fairness of Low-Rank Adaptation of Large Models Zhoujie Ding Ken Ziyu Liu Pura Peetathawatchai Berivan Isik Sanmi Koyejo 48 4 0 27 May 2024
AuthNet: Neural Network with Integrated Authentication Logic Yuling Cai Fan Xiang Guozhu Meng Yinzhi Cao Kai Chen AAML 53 0 0 24 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 48 2 0 30 Apr 2024
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 45 2 0 06 Dec 2023
Balancing Act: Constraining Disparate Impact in Sparse Models Meraj Hashemizadeh Juan Ramirez Rohan Sukumaran G. Farnadi Simon Lacoste-Julien Jose Gallego-Posada 33 5 0 31 Oct 2023
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio AAML 15 1 0 12 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 22 10 0 04 Oct 2023
Uncovering the Hidden Cost of Model Compression Diganta Misra Muawiz Chaudhary Agam Goyal Bharat Runwal Pin-Yu Chen VLM 33 0 0 29 Aug 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
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 34 7 0 19 Jan 2023
Fairness Increases Adversarial Vulnerability Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 26 6 0 21 Nov 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 23 11 0 07 Jun 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 148 39 0 12 Oct 2021
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation Orevaoghene Ahia Julia Kreutzer Sara Hooker 107 51 0 06 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 249 488 0 31 Dec 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 188 1,027 0 06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 382 0 05 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019