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Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection

Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection

3 March 2020
Mao Ye
Chengyue Gong
Lizhen Nie
Denny Zhou
Adam R. Klivans
Qiang Liu
ArXivPDFHTML

Papers citing "Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection"

14 / 14 papers shown
Title
Efficient Transformer-based 3D Object Detection with Dynamic Token
  Halting
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
32
8
0
09 Mar 2023
Pruning Deep Neural Networks from a Sparsity Perspective
Pruning Deep Neural Networks from a Sparsity Perspective
Enmao Diao
G. Wang
Jiawei Zhan
Yuhong Yang
Jie Ding
Vahid Tarokh
17
30
0
11 Feb 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
9
1
0
26 Jan 2023
Data-Efficient Structured Pruning via Submodular Optimization
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
18
18
0
09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
34
48
0
09 Mar 2022
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter
  Pruning
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
Seunghyun Lee
B. Song
16
8
0
05 Mar 2022
Efficient Neural Network Training via Forward and Backward Propagation
  Sparsification
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou
Weizhong Zhang
Zonghao Chen
Shizhe Diao
Tong Zhang
24
46
0
10 Nov 2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based
  Networks
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
Shiyu Liu
Chong Min John Tan
Mehul Motani
CLL
21
4
0
17 Oct 2021
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity
  on Pruned Neural Networks
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks
Shuai Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
UQCV
MLT
21
13
0
12 Oct 2021
Heavy Ball Momentum for Conditional Gradient
Heavy Ball Momentum for Conditional Gradient
Bingcong Li
A. Sadeghi
G. Giannakis
15
5
0
08 Oct 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Xiangcheng Liu
Jian Cao
Hongyi Yao
Wenyu Sun
Yuan Zhang
38
2
0
14 Sep 2021
Effective Sparsification of Neural Networks with Global Sparsity
  Constraint
Effective Sparsification of Neural Networks with Global Sparsity Constraint
Xiao Zhou
Weizhong Zhang
Hang Xu
Tong Zhang
13
61
0
03 May 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural
  Networks by Pruning A Randomly Weighted Network
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
23
75
0
17 Mar 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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