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Finding Lottery Tickets in Vision Models via Data-driven Spectral
  Foresight Pruning

Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning

3 June 2024
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
ArXivPDFHTML

Papers citing "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning"

19 / 19 papers shown
Title
Counting Carbon: A Survey of Factors Influencing the Emissions of
  Machine Learning
Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
A. Luccioni
Alex Hernandez-Garcia
65
51
0
16 Feb 2023
One-shot Network Pruning at Initialization with Discriminative Image
  Patches
One-shot Network Pruning at Initialization with Discriminative Image Patches
Yinan Yang
Yu Wang
Yi Ji
Heng Qi
Jien Kato
VLM
54
4
0
13 Sep 2022
Fast Finite Width Neural Tangent Kernel
Fast Finite Width Neural Tangent Kernel
Roman Novak
Jascha Narain Sohl-Dickstein
S. Schoenholz
AAML
49
54
0
17 Jun 2022
FreeREA: Training-Free Evolution-based Architecture Search
FreeREA: Training-Free Evolution-based Architecture Search
Niccolò Cavagnero
Luc Robbiano
Barbara Caputo
Giuseppe Averta
50
19
0
17 Jun 2022
How Well Do Sparse Imagenet Models Transfer?
How Well Do Sparse Imagenet Models Transfer?
Eugenia Iofinova
Alexandra Peste
Mark Kurtz
Dan Alistarh
46
40
0
26 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
650
6,059
0
29 Apr 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
307
717
0
31 Jan 2021
Are wider nets better given the same number of parameters?
Are wider nets better given the same number of parameters?
A. Golubeva
Behnam Neyshabur
Guy Gur-Ari
61
44
0
27 Oct 2020
Progressive Skeletonization: Trimming more fat from a network at
  initialization
Progressive Skeletonization: Trimming more fat from a network at initialization
Pau de Jorge
Amartya Sanyal
Harkirat Singh Behl
Philip Torr
Grégory Rogez
P. Dokania
57
95
0
16 Jun 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
452
3,427
0
09 Mar 2020
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis
Chaoqi Wang
Roger C. Grosse
Sanja Fidler
Guodong Zhang
61
123
0
15 May 2019
SNIP: Single-shot Network Pruning based on Connection Sensitivity
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
249
1,198
0
04 Oct 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
225
3,461
0
09 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
430
13,121
0
07 Feb 2018
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
176
2,337
0
12 Aug 2016
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
92
882
0
22 Sep 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
310
6,669
0
08 Jun 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
315
18,609
0
06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
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