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  4. Cited By
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win
  the Jackpot?

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

1 July 2021
Xiaolong Ma
Geng Yuan
Xuan Shen
Tianlong Chen
Xuxi Chen
Xiaohan Chen
Ning Liu
Minghai Qin
Sijia Liu
Zhangyang Wang
Yanzhi Wang
ArXivPDFHTML

Papers citing "Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?"

50 / 51 papers shown
Title
Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch
Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch
Advait Gadhikar
Tom Jacobs
Chao Zhou
R. Burkholz
27
0
0
17 Apr 2025
Hyperflows: Pruning Reveals the Importance of Weights
Hyperflows: Pruning Reveals the Importance of Weights
Eugen Barbulescu
Antonio Alexoaie
21
0
0
06 Apr 2025
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
Hao Wu
Haomin Wen
Guibin Zhang
Yutong Xia
Kai Wang
Yuxuan Liang
Yu Zheng
Kun Wang
60
2
0
17 Jan 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph
  Neural Networks
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
Yanwei Yue
Guibin Zhang
Haoran Yang
Dawei Cheng
77
0
0
10 Dec 2024
Revisiting Machine Unlearning with Dimensional Alignment
Revisiting Machine Unlearning with Dimensional Alignment
Seonguk Seo
Dongwan Kim
Bohyung Han
MU
29
0
0
25 Jul 2024
Efficient DNN-Powered Software with Fair Sparse Models
Efficient DNN-Powered Software with Fair Sparse Models
Xuanqi Gao
Weipeng Jiang
Juan Zhai
Shiqing Ma
Xiaoyu Zhang
Chao Shen
33
0
0
03 Jul 2024
Cyclic Sparse Training: Is it Enough?
Cyclic Sparse Training: Is it Enough?
Advait Gadhikar
Sree Harsha Nelaturu
R. Burkholz
CLL
40
0
0
04 Jun 2024
What makes unlearning hard and what to do about it
What makes unlearning hard and what to do about it
Kairan Zhao
M. Kurmanji
George-Octavian Barbulescu
Eleni Triantafillou
Peter Triantafillou
MU
58
16
0
03 Jun 2024
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning
Dhruv Parikh
Shouyi Li
Bingyi Zhang
Rajgopal Kannan
Carl E. Busart
Viktor Prasanna
38
1
0
21 Mar 2024
A Survey of Lottery Ticket Hypothesis
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
Masks, Signs, And Learning Rate Rewinding
Masks, Signs, And Learning Rate Rewinding
Advait Gadhikar
R. Burkholz
55
8
0
29 Feb 2024
Discriminative Adversarial Unlearning
Discriminative Adversarial Unlearning
Rohan Sharma
Shijie Zhou
Kaiyi Ji
Changyou Chen
MU
22
1
0
10 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via
  Semantic and Topological Awareness
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
Guibin Zhang
Yanwei Yue
Kun Wang
Junfeng Fang
Yongduo Sui
Kai Wang
Yuxuan Liang
Dawei Cheng
Shirui Pan
Tianlong Chen
27
10
0
02 Feb 2024
PriPrune: Quantifying and Preserving Privacy in Pruned Federated
  Learning
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
Tianyue Chu
Mengwei Yang
Nikolaos Laoutaris
A. Markopoulou
34
4
0
30 Oct 2023
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
Chao Jiang
Bo Hui
Bohan Liu
Da Yan
DiffM
29
14
0
28 Oct 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable
  Machine Unlearning
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
Zheyuan Liu
Guangyao Dou
Yijun Tian
Chunhui Zhang
Eli Chien
Ziwei Zhu
MU
26
16
0
28 Oct 2023
Unlearning with Fisher Masking
Unlearning with Fisher Masking
Yufang Liu
Changzhi Sun
Yuanbin Wu
Aimin Zhou
MU
21
4
0
09 Oct 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
Aochuan Chen
Yimeng Zhang
Jinghan Jia
James Diffenderfer
Jiancheng Liu
Konstantinos Parasyris
Yihua Zhang
Zheng-Wei Zhang
B. Kailkhura
Sijia Liu
30
43
0
03 Oct 2023
Unveiling Invariances via Neural Network Pruning
Unveiling Invariances via Neural Network Pruning
Derek Xu
Yizhou Sun
Wei Wang
36
0
0
15 Sep 2023
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive
  field
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
Kun Wang
Guohao Li
Shilong Wang
Guibin Zhang
K. Wang
Yang You
Xiaojiang Peng
Yuxuan Liang
Yang Wang
26
8
0
19 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
36
25
0
01 Aug 2023
Distilled Pruning: Using Synthetic Data to Win the Lottery
Distilled Pruning: Using Synthetic Data to Win the Lottery
Luke McDermott
Daniel Cummings
SyDa
DD
32
1
0
07 Jul 2023
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
27
2
0
24 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
36
25
0
10 May 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui
Jocelyn M Mora
Adrian V. Dalca
I. Aganj
37
22
0
03 May 2023
Model Sparsity Can Simplify Machine Unlearning
Model Sparsity Can Simplify Machine Unlearning
Jinghan Jia
Jiancheng Liu
Parikshit Ram
Yuguang Yao
Gaowen Liu
Yang Liu
Pranay Sharma
Sijia Liu
MU
22
105
0
11 Apr 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
X. Lin
Sijia Liu
AAML
MLAU
24
1
0
13 Mar 2023
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook
  for Sparse Neural Network Researchers
Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers
Shiwei Liu
Zhangyang Wang
27
30
0
06 Feb 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
13
6
0
16 Dec 2022
Data Level Lottery Ticket Hypothesis for Vision Transformers
Data Level Lottery Ticket Hypothesis for Vision Transformers
Xuan Shen
Zhenglun Kong
Minghai Qin
Peiyan Dong
Geng Yuan
Xin Meng
Hao Tang
Xiaolong Ma
Yanzhi Wang
30
6
0
02 Nov 2022
Advancing Model Pruning via Bi-level Optimization
Advancing Model Pruning via Bi-level Optimization
Yihua Zhang
Yuguang Yao
Parikshit Ram
Pu Zhao
Tianlong Chen
Min-Fong Hong
Yanzhi Wang
Sijia Liu
36
68
0
08 Oct 2022
Why Random Pruning Is All We Need to Start Sparse
Why Random Pruning Is All We Need to Start Sparse
Advait Gadhikar
Sohom Mukherjee
R. Burkholz
41
19
0
05 Oct 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Bo Du
Wenbin Hu
Danilo P. Mandic
29
28
0
18 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
63
18
0
04 May 2022
CHEX: CHannel EXploration for CNN Model Compression
CHEX: CHannel EXploration for CNN Model Compression
Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-kuang Chen
Rong Jin
Yuan Xie
S. Kung
8
71
0
29 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
13
42
0
24 Feb 2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Qing Jin
Jian Ren
Richard Zhuang
Sumant Hanumante
Zhengang Li
Zhiyu Chen
Yanzhi Wang
Kai-Min Yang
Sergey Tulyakov
MQ
24
48
0
10 Feb 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen
Xuxi Chen
Xiaolong Ma
Yanzhi Wang
Zhangyang Wang
11
34
0
09 Feb 2022
Fortuitous Forgetting in Connectionist Networks
Fortuitous Forgetting in Connectionist Networks
Hattie Zhou
Ankit Vani
Hugo Larochelle
Aaron Courville
CLL
6
42
0
01 Feb 2022
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
Zhenglun Kong
Peiyan Dong
Xiaolong Ma
Xin Meng
Mengshu Sun
...
Geng Yuan
Bin Ren
Minghai Qin
H. Tang
Yanzhi Wang
ViT
26
141
0
27 Dec 2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less,
  Yet Learning Better
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
Sameer Bibikar
H. Vikalo
Zhangyang Wang
Xiaohan Chen
FedML
17
95
0
18 Dec 2021
Toward Compact Parameter Representations for Architecture-Agnostic
  Neural Network Compression
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression
Yuezhou Sun
Wenlong Zhao
Lijun Zhang
Xiao Liu
Hui Guan
Matei A. Zaharia
21
0
0
19 Nov 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the
  Edge
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan
Xiaolong Ma
Wei Niu
Zhengang Li
Zhenglun Kong
...
Minghai Qin
Bin Ren
Yanzhi Wang
Sijia Liu
Xue Lin
15
89
0
26 Oct 2021
Lottery Tickets with Nonzero Biases
Lottery Tickets with Nonzero Biases
Jonas Fischer
Advait Gadhikar
R. Burkholz
6
6
0
21 Oct 2021
Playing Lottery Tickets with Vision and Language
Playing Lottery Tickets with Vision and Language
Zhe Gan
Yen-Chun Chen
Linjie Li
Tianlong Chen
Yu Cheng
Shuohang Wang
Jingjing Liu
Lijuan Wang
Zicheng Liu
VLM
101
53
0
23 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
31
64
0
11 Mar 2021
The Lottery Ticket Hypothesis for Object Recognition
The Lottery Ticket Hypothesis for Object Recognition
Sharath Girish
Shishira R. Maiya
Kamal Gupta
Hao Chen
L. Davis
Abhinav Shrivastava
75
60
0
08 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
148
376
0
23 Jul 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
222
382
0
05 Mar 2020
12
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