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2110.05667
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Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks
12 October 2021
Shuai Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
UQCV
MLT
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Papers citing
"Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks"
14 / 14 papers shown
Title
A Survey of Lottery Ticket Hypothesis
Bohan Liu
Zijie Zhang
Peixiong He
Zhensen Wang
Yang Xiao
Ruimeng Ye
Yang Zhou
Wei-Shinn Ku
Bo Hui
UQCV
37
12
0
07 Mar 2024
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with
ε
ε
ε
-Greedy Exploration
Shuai Zhang
Hongkang Li
Meng Wang
Miao Liu
Pin-Yu Chen
Songtao Lu
Sijia Liu
K. Murugesan
Subhajit Chaudhury
32
19
0
24 Oct 2023
Representation and decomposition of functions in DAG-DNNs and structural network pruning
Wonjun Hwang
8
1
0
16 Jun 2023
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data
Hongkang Li
Shuai Zhang
M. Wang
MLT
8
8
0
07 Jul 2022
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation
Wenjing Yang
G. Wang
Jie Ding
Yuhong Yang
MLT
25
7
0
11 Jun 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets
R. Burkholz
UQCV
MLT
35
13
0
04 May 2022
Machine Learning and Deep Learning -- A review for Ecologists
Maximilian Pichler
F. Hartig
28
124
0
11 Apr 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
M. Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
39
22
0
21 Jan 2022
Visualizing the Loss Landscape of Winning Lottery Tickets
Robert Bain
UQCV
8
3
0
16 Dec 2021
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
Yuege Xie
Bobby Shi
Hayden Schaeffer
Rachel A. Ward
78
9
0
07 Dec 2021
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
Cameron R. Wolfe
Anastasios Kyrillidis
11
1
0
07 Dec 2021
Towards Learning Convolutions from Scratch
Behnam Neyshabur
SSL
220
71
0
27 Jul 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
148
345
0
23 Jul 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
222
382
0
05 Mar 2020
1