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Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

22 September 2020
Jingtong Su
Yihang Chen
Tianle Cai
Tianhao Wu
Ruiqi Gao
Liwei Wang
J. Lee
ArXivPDFHTML

Papers citing "Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot"

20 / 20 papers shown
Title
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
Elia Cunegatti
Leonardo Lucio Custode
Giovanni Iacca
49
0
0
11 Nov 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
Mingcan Xiang
Steven Jiaxun Tang
Qizheng Yang
Hui Guan
Tongping Liu
VLM
39
0
0
07 Aug 2024
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude
  Pruning
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Moonseok Choi
Hyungi Lee
G. Nam
Juho Lee
32
2
0
24 May 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
14
1
0
26 Jan 2023
Can We Find Strong Lottery Tickets in Generative Models?
Can We Find Strong Lottery Tickets in Generative Models?
Sangyeop Yeo
Yoojin Jang
Jy-yong Sohn
Dongyoon Han
Jaejun Yoo
20
6
0
16 Dec 2022
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning
  Ticket's Mask?
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
Mansheej Paul
F. Chen
Brett W. Larsen
Jonathan Frankle
Surya Ganguli
Gintare Karolina Dziugaite
UQCV
25
38
0
06 Oct 2022
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
26
4
0
13 Sep 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks
On the Robustness and Anomaly Detection of Sparse Neural Networks
Morgane Ayle
Bertrand Charpentier
John Rachwan
Daniel Zügner
Simon Geisler
Stephan Günnemann
AAML
52
3
0
09 Jul 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets
Convolutional and Residual Networks Provably Contain Lottery Tickets
R. Burkholz
UQCV
MLT
35
13
0
04 May 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth
Most Activation Functions Can Win the Lottery Without Excessive Depth
R. Burkholz
MLT
69
18
0
04 May 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Structured Pruning is All You Need for Pruning CNNs at Initialization
Yaohui Cai
Weizhe Hua
Hongzheng Chen
G. E. Suh
Christopher De Sa
Zhiru Zhang
CVBM
41
14
0
04 Mar 2022
Rare Gems: Finding Lottery Tickets at Initialization
Rare Gems: Finding Lottery Tickets at Initialization
Kartik K. Sreenivasan
Jy-yong Sohn
Liu Yang
Matthew Grinde
Alliot Nagle
Hongyi Wang
Eric P. Xing
Kangwook Lee
Dimitris Papailiopoulos
27
42
0
24 Feb 2022
Lottery Tickets with Nonzero Biases
Lottery Tickets with Nonzero Biases
Jonas Fischer
Advait Gadhikar
R. Burkholz
16
6
0
21 Oct 2021
Can Subnetwork Structure be the Key to Out-of-Distribution
  Generalization?
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang
Kartik Ahuja
Yilun Xu
Yisen Wang
Aaron Courville
OOD
20
95
0
05 Jun 2021
Initialization and Regularization of Factorized Neural Layers
Initialization and Regularization of Factorized Neural Layers
M. Khodak
Neil A. Tenenholtz
Lester W. Mackey
Nicolò Fusi
65
56
0
03 May 2021
Generalization bounds via distillation
Generalization bounds via distillation
Daniel J. Hsu
Ziwei Ji
Matus Telgarsky
Lan Wang
FedML
15
32
0
12 Apr 2021
Recent Advances on Neural Network Pruning at Initialization
Recent Advances on Neural Network Pruning at Initialization
Huan Wang
Can Qin
Yue Bai
Yulun Zhang
Yun Fu
CVBM
33
64
0
11 Mar 2021
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
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
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