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Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm

Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm

7 June 2022
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
ArXivPDFHTML

Papers citing "Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm"

13 / 13 papers shown
Title
Fisher-aware Quantization for DETR Detectors with Critical-category
  Objectives
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
The EarlyBird Gets the WORM: Heuristically Accelerating EarlyBird
  Convergence
The EarlyBird Gets the WORM: Heuristically Accelerating EarlyBird Convergence
Adithya Vasudev
18
0
0
31 May 2024
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
Eugenia Iofinova
Alexandra Peste
Dan Alistarh
28
9
0
25 Apr 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and
  Linear Regions
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
37
7
0
19 Jan 2023
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural
  Networks
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu
Rohan Ghosh
John Tan Chong Min
Mehul Motani
37
0
0
09 Dec 2022
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
39
38
0
26 May 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
42
48
0
09 Mar 2022
The Low-Resource Double Bind: An Empirical Study of Pruning for
  Low-Resource Machine Translation
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation
Orevaoghene Ahia
Julia Kreutzer
Sara Hooker
115
51
0
06 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
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
141
684
0
31 Jan 2021
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
137
189
0
19 Mar 2020
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,027
0
06 Mar 2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
221
197
0
07 Feb 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,212
0
23 Aug 2019
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