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On Iterative Neural Network Pruning, Reinitialization, and the
  Similarity of Masks

On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks

14 January 2020
Michela Paganini
Jessica Zosa Forde
ArXivPDFHTML

Papers citing "On Iterative Neural Network Pruning, Reinitialization, and the Similarity of Masks"

10 / 10 papers shown
Title
CRoP: Context-wise Robust Static Human-Sensing Personalization
CRoP: Context-wise Robust Static Human-Sensing Personalization
Sawinder Kaur
Avery Gump
Yi Xiao
Jingyu Xin
Harshit Sharma
Nina R Benway
Jonathan L Preston
Asif Salekin
72
0
0
26 Sep 2024
One ticket to win them all: generalizing lottery ticket initializations
  across datasets and optimizers
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos
Haonan Yu
Michela Paganini
Yuandong Tian
39
228
0
06 Jun 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
115
737
0
19 Mar 2019
Learning and Generalization in Overparameterized Neural Networks, Going
  Beyond Two Layers
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu
Yuanzhi Li
Yingyu Liang
MLT
106
769
0
12 Nov 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction
  Method of Multipliers
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers
Tianyun Zhang
Shaokai Ye
Kaiqi Zhang
Jian Tang
Wujie Wen
M. Fardad
Yanzhi Wang
41
435
0
10 Apr 2018
On the Power of Over-parametrization in Neural Networks with Quadratic
  Activation
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
S. Du
Jason D. Lee
95
268
0
03 Mar 2018
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
110
3,848
0
10 Apr 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
189
8,793
0
01 Oct 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
212
6,628
0
08 Jun 2015
Building high-level features using large scale unsupervised learning
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSL
OffRL
CVBM
76
2,268
0
29 Dec 2011
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