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2003.01794
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Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
International Conference on Machine Learning (ICML), 2020
3 March 2020
Mao Ye
Chengyue Gong
Lizhen Nie
Denny Zhou
Adam R. Klivans
Qiang Liu
Re-assign community
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Papers citing
"Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection"
50 / 74 papers shown
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194
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Meta Pruning via Graph Metanetworks : A Universal Meta Learning Framework for Network Pruning
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416
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AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
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Yefan Zhou
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Michael W. Mahoney
Yaoqing Yang
187
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A Comprehensive Study of Structural Pruning for Vision Models
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Haoling Li
Mengqi Xue
Gongfan Fang
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Zunlei Feng
Huiqiong Wang
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Lechao Cheng
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636
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18 Jun 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
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Shangqian Gao
Heng-Chiao Huang
409
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28 Mar 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
Xidong Wu
Shangqian Gao
Zeyu Zhang
Zhenzhen Li
Runxue Bao
Yanfu Zhang
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322
32
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21 Mar 2024
REPrune: Channel Pruning via Kernel Representative Selection
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Dongjin Kim
Cheonjun Park
Yuna Park
Gyeong Eun Gong
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335
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Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
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Hirad Alipanah
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321
11
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Continual Learning: Forget-free Winning Subnetworks for Video Representations
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Jaehong Yoon
Sung Ju Hwang
Chang D. Yoo
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590
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SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration
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Jingyang Xiang
Siqi Li
Jun Chen
Shipeng Bai
Yukai Ma
Guang Dai
Yong-Jin Liu
282
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Homological Convolutional Neural Networks
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Yuanrong Wang
Silvia Bartolucci
T. Aste
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281
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Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
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Hao Wu
Jiao Xie
Baochang Zhang
Chunjiang Ge
Zhou Yu
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David Doermann
244
4
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Neural Network Reduction with Guided Regularizers
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Adrian Sandu
247
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Task-aware Distributed Source Coding under Dynamic Bandwidth
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Po-han Li
S. Ankireddy
Ruihan Zhao
Hossein Nourkhiz Mahjoub
Ehsan Moradi-Pari
Ufuk Topcu
Sandeep Chinchali
Hyeji Kim
335
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Randomly Initialized Subnetworks with Iterative Weight Recycling
Matt Gorbett
L. D. Whitley
255
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28 Mar 2023
Forget-free Continual Learning with Soft-Winning SubNetworks
Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
346
7
0
27 Mar 2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
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Nived Rajaraman
Devvrit
Aryan Mokhtari
Kannan Ramchandran
290
3
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20 Mar 2023
Dynamic Structure Pruning for Compressing CNNs
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jun-Hyung Park
Yeachan Kim
Junho Kim
Joon-Young Choi
SangKeun Lee
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197
23
0
17 Mar 2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
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Mao Ye
Gregory P. Meyer
Yuning Chai
Qiang Liu
304
10
0
09 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang He
Lingao Xiao
3DPC
475
318
0
01 Mar 2023
Pruning Deep Neural Networks from a Sparsity Perspective
International Conference on Learning Representations (ICLR), 2023
Enmao Diao
G. Wang
Jiawei Zhan
Yuhong Yang
Jie Ding
Vahid Tarokh
461
43
0
11 Feb 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
Athul Shibu
Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
267
3
0
26 Jan 2023
Pruning Before Training May Improve Generalization, Provably
Hongru Yang
Yingbin Liang
Xiaojie Guo
Lingfei Wu
Zinan Lin
MLT
347
2
0
01 Jan 2023
AP: Selective Activation for De-sparsifying Pruned Neural Networks
Shiyu Liu
Rohan Ghosh
Dylan Tan
Mehul Motani
AAML
241
0
0
09 Dec 2022
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu
Rohan Ghosh
John Tan Chong Min
Mehul Motani
305
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09 Dec 2022
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions
Neural Information Processing Systems (NeurIPS), 2022
M. Tukan
Loay Mualem
Alaa Maalouf
3DPC
318
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0
18 Sep 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning
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Haeyong Kang
Jaehong Yoon
Sultan Rizky Hikmawan Madjid
Sung Ju Hwang
Chang D. Yoo
CLL
420
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0
15 Sep 2022
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps
European Conference on Computer Vision (ECCV), 2022
Alireza Ganjdanesh
Shangqian Gao
Heng-Chiao Huang
FAtt
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285
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0
07 Sep 2022
A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation
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G. Wang
Jie Ding
Yuhong Yang
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378
8
0
11 Jun 2022
Sharp asymptotics on the compression of two-layer neural networks
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Mohammad Hossein Amani
Simone Bombari
Marco Mondelli
Rattana Pukdee
Stefano Rini
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389
1
0
17 May 2022
CHEX: CHannel EXploration for CNN Model Compression
Computer Vision and Pattern Recognition (CVPR), 2022
Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-kuang Chen
Rong Jin
Yuan Xie
S. Kung
303
93
0
29 Mar 2022
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Hongru Yang
Zinan Lin
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479
10
0
27 Mar 2022
Searching for Network Width with Bilaterally Coupled Network
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Xiu Su
Shan You
Jiyang Xie
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
231
13
0
25 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization
Neural Information Processing Systems (NeurIPS), 2022
Marwa El Halabi
Suraj Srinivas
Damien Scieur
487
24
0
09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
International Conference on Machine Learning (ICML), 2022
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
477
60
0
09 Mar 2022
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
Conference on Learning for Dynamics & Control (L4DC), 2021
Cameron R. Wolfe
Anastasios Kyrillidis
238
1
0
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Equal Bits: Enforcing Equally Distributed Binary Network Weights
Yun-qiang Li
S. Pintea
Jan van Gemert
MQ
284
16
0
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Efficient Neural Network Training via Forward and Backward Propagation Sparsification
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Weizhong Zhang
Zonghao Chen
Shizhe Diao
Tong Zhang
270
54
0
10 Nov 2021
A Unified Approach to Coreset Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Alaa Maalouf
Gilad Eini
Ben Mussay
Dan Feldman
Margarita Osadchy
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315
21
0
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CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Wenzheng Hu
Zhengping Che
Ning Liu
Mingyang Li
Jian Tang
Changshui Zhang
Jianqiang Wang
212
31
0
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S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
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Chong Min John Tan
Mehul Motani
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138
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0
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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
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244
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Heavy Ball Momentum for Conditional Gradient
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Bingcong Li
A. Sadeghi
G. Giannakis
218
8
0
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RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
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Arnaud Dapogny
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352
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AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
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Jian Cao
Hongyi Yao
Wenyu Sun
Yuan Zhang
247
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GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization
Yi Guo
Huan Yuan
Jianchao Tan
Zinan Lin
Sen Yang
Ji Liu
346
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0
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On the Effect of Pruning on Adversarial Robustness
Artur Jordão
Hélio Pedrini
AAML
321
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0
10 Aug 2021
How much pre-training is enough to discover a good subnetwork?
Cameron R. Wolfe
Fangshuo Liao
Qihan Wang
Junhyung Lyle Kim
Anastasios Kyrillidis
330
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31 Jul 2021
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