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1906.02773
Cited By
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
6 June 2019
Ari S. Morcos
Haonan Yu
Michela Paganini
Yuandong Tian
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Papers citing
"One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
35 / 35 papers shown
Title
Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
Soheil Gharatappeh
S. Y. Sekeh
54
0
0
28 Jan 2025
Layer-Adaptive State Pruning for Deep State Space Models
Minseon Gwak
Seongrok Moon
Joohwan Ko
PooGyeon Park
25
0
0
05 Nov 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
Mingcan Xiang
Steven Jiaxun Tang
Qizheng Yang
Hui Guan
Tongping Liu
VLM
34
0
0
07 Aug 2024
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Kaixin Xu
Zhe Wang
Chunyun Chen
Xue Geng
Jie Lin
Xulei Yang
Min-man Wu
Min Wu
Xiaoli Li
Weisi Lin
ViT
VLM
43
6
0
02 Jul 2024
Survival of the Fittest Representation: A Case Study with Modular Addition
Xiaoman Delores Ding
Zifan Carl Guo
Eric J. Michaud
Ziming Liu
Max Tegmark
34
3
0
27 May 2024
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
24
0
0
29 Aug 2023
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis
Abu-Al Hassan
25
0
0
06 Aug 2023
Biologically-Motivated Learning Model for Instructed Visual Processing
R. Abel
S. Ullman
20
0
0
04 Jun 2023
Towards Compute-Optimal Transfer Learning
Massimo Caccia
Alexandre Galashov
Arthur Douillard
Amal Rannen-Triki
Dushyant Rao
Michela Paganini
Laurent Charlin
MarcÁurelio Ranzato
Razvan Pascanu
8
3
0
25 Apr 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen
José Oramas
15
1
0
22 Feb 2023
COLT: Cyclic Overlapping Lottery Tickets for Faster Pruning of Convolutional Neural Networks
Md. Ismail Hossain
Mohammed Rakib
M. M. L. Elahi
Nabeel Mohammed
Shafin Rahman
21
1
0
24 Dec 2022
LU decomposition and Toeplitz decomposition of a neural network
Yucong Liu
Simiao Jiao
Lek-Heng Lim
27
7
0
25 Nov 2022
LOFT: Finding Lottery Tickets through Filter-wise Training
Qihan Wang
Chen Dun
Fangshuo Liao
C. Jermaine
Anastasios Kyrillidis
18
3
0
28 Oct 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks
Morgane Ayle
Bertrand Charpentier
John Rachwan
Daniel Zügner
Simon Geisler
Stephan Günnemann
AAML
50
3
0
09 Jul 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
22
46
0
04 Jul 2022
Zeroth-Order Topological Insights into Iterative Magnitude Pruning
Aishwarya H. Balwani
J. Krzyston
24
2
0
14 Jun 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao
Beidi Chen
N. Sohoni
Arjun D Desai
Michael Poli
Jessica Grogan
Alexander Liu
Aniruddh Rao
Atri Rudra
Christopher Ré
16
87
0
01 Apr 2022
The rise of the lottery heroes: why zero-shot pruning is hard
Enzo Tartaglione
21
6
0
24 Feb 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
24
6
0
27 Jan 2022
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
VLM
CVBM
13
8
0
15 Dec 2021
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Tri Dao
Beidi Chen
Kaizhao Liang
Jiaming Yang
Zhao-quan Song
Atri Rudra
Christopher Ré
25
75
0
30 Nov 2021
Meta-Learning Sparse Implicit Neural Representations
Jaehoon Lee
Jihoon Tack
Namhoon Lee
Jinwoo Shin
17
43
0
27 Oct 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Xiaolong Ma
Geng Yuan
Xuan Shen
Tianlong Chen
Xuxi Chen
...
Ning Liu
Minghai Qin
Sijia Liu
Zhangyang Wang
Yanzhi Wang
10
63
0
01 Jul 2021
GANs Can Play Lottery Tickets Too
Xuxi Chen
Zhenyu (Allen) Zhang
Yongduo Sui
Tianlong Chen
GAN
11
58
0
31 May 2021
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
Franco Pellegrini
Giulio Biroli
44
6
0
27 Apr 2021
Recent Advances on Neural Network Pruning at Initialization
Huan Wang
Can Qin
Yue Bai
Yulun Zhang
Yun Fu
CVBM
31
64
0
11 Mar 2021
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
39
21
0
09 Mar 2021
An Information-Theoretic Justification for Model Pruning
Berivan Isik
Tsachy Weissman
Albert No
84
35
0
16 Feb 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar S. Karnin
ViT
LMTD
140
416
0
11 Dec 2020
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
21
25
0
20 Nov 2020
Deep Randomized Neural Networks
Claudio Gallicchio
Simone Scardapane
OOD
33
61
0
27 Feb 2020
Predicting Neural Network Accuracy from Weights
Thomas Unterthiner
Daniel Keysers
Sylvain Gelly
Olivier Bousquet
Ilya O. Tolstikhin
8
101
0
26 Feb 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective
Motasem Alfarra
Adel Bibi
Hasan Hammoud
M. Gaafar
Bernard Ghanem
9
26
0
20 Feb 2020
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
M. Elaraby
Guy Wolf
Margarida Carvalho
26
5
0
17 Feb 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
30
443
0
26 Sep 2019
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