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Provable Filter Pruning for Efficient Neural Networks

Provable Filter Pruning for Efficient Neural Networks

18 November 2019
Lucas Liebenwein
Cenk Baykal
Harry Lang
Dan Feldman
Daniela Rus
    VLM
    3DPC
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Papers citing "Provable Filter Pruning for Efficient Neural Networks"

43 / 43 papers shown
Title
Mutual Information Preserving Neural Network Pruning
Mutual Information Preserving Neural Network Pruning
Charles Westphal
Stephen Hailes
Mirco Musolesi
57
1
0
31 Oct 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training
  Through Linear Layers Composition
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition
Xitong Zhang
Ismail R. Alkhouri
Rongrong Wang
45
0
0
06 May 2024
SCoTTi: Save Computation at Training Time with an adaptive framework
SCoTTi: Save Computation at Training Time with an adaptive framework
Ziyu Li
Enzo Tartaglione
Van-Tam Nguyen
42
0
0
19 Dec 2023
Computing Approximate $\ell_p$ Sensitivities
Computing Approximate ℓp\ell_pℓp​ Sensitivities
Swati Padmanabhan
David P. Woodruff
Qiuyi Zhang
55
0
0
07 Nov 2023
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Filter Pruning For CNN With Enhanced Linear Representation Redundancy
Bojue Wang
Chun-Xia Ma
Bin Liu
Nianbo Liu
Jinqi Zhu
42
1
0
10 Oct 2023
D-Score: A Synapse-Inspired Approach for Filter Pruning
D-Score: A Synapse-Inspired Approach for Filter Pruning
Doyoung Park
Jinsoo Kim
Ji-Min Nam
Jooyoung Chang
S. Park
22
0
0
08 Aug 2023
Boosting Convolutional Neural Networks with Middle Spectrum Grouped
  Convolution
Boosting Convolutional Neural Networks with Middle Spectrum Grouped Convolution
Z. Su
Jiehua Zhang
Tianpeng Liu
Zhen Liu
Shuanghui Zhang
M. Pietikäinen
Li Liu
32
2
0
13 Apr 2023
A Tensor-based Convolutional Neural Network for Small Dataset
  Classification
A Tensor-based Convolutional Neural Network for Small Dataset Classification
Zhenhua Chen
David J. Crandall
34
0
0
29 Mar 2023
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo Zhang
Tao Chen
Jiayuan Fan
Bin Wang
32
18
0
21 Mar 2023
Automatic Attention Pruning: Improving and Automating Model Pruning
  using Attentions
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao
Animesh Jain
Ming Zhao
26
10
0
14 Mar 2023
Provable Data Subset Selection For Efficient Neural Network Training
Provable Data Subset Selection For Efficient Neural Network Training
M. Tukan
Samson Zhou
Alaa Maalouf
Daniela Rus
Vladimir Braverman
Dan Feldman
MLT
31
9
0
09 Mar 2023
Gradient-Free Structured Pruning with Unlabeled Data
Gradient-Free Structured Pruning with Unlabeled Data
Azade Nova
H. Dai
Dale Schuurmans
SyDa
40
20
0
07 Mar 2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
EVC: Towards Real-Time Neural Image Compression with Mask Decay
G. Wang
Jiahao Li
Bin Li
Yan Lu
24
66
0
10 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
17
1
0
26 Jan 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and
  Linear Regions
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions
Junyang Cai
Khai-Nguyen Nguyen
Nishant Shrestha
Aidan Good
Ruisen Tu
Xin Yu
Shandian Zhe
Thiago Serra
MLT
40
7
0
19 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
37
20
0
12 Jan 2023
Efficient Stein Variational Inference for Reliable Distribution-lossless
  Network Pruning
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Yingchun Wang
Song Guo
Jingcai Guo
Weizhan Zhang
Yi Tian Xu
Jiewei Zhang
Yi Liu
21
17
0
07 Dec 2022
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
24
0
0
20 Oct 2022
Deep Learning on Home Drone: Searching for the Optimal Architecture
Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf
Yotam Gurfinkel
Barak Diker
O. Gal
Daniela Rus
Dan Feldman
32
5
0
21 Sep 2022
Dynamic Selection of Perception Models for Robotic Control
Dynamic Selection of Perception Models for Robotic Control
Bineet Ghosh
Masaad Khan
Adithya S Ashok
Sandeep Chinchali
Parasara Sridhar Duggirala
43
1
0
13 Jul 2022
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
42
9
0
08 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning
  Algorithm
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm
Aidan Good
Jia-Huei Lin
Hannah Sieg
Mikey Ferguson
Xin Yu
Shandian Zhe
J. Wieczorek
Thiago Serra
39
11
0
07 Jun 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
37
84
0
11 May 2022
Data-Efficient Structured Pruning via Submodular Optimization
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
22
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
44
48
0
09 Mar 2022
Obstacle Aware Sampling for Path Planning
Obstacle Aware Sampling for Path Planning
M. Tukan
Alaa Maalouf
Dan Feldman
Roi Poranne
34
8
0
08 Mar 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision
Rui Han
Qinglong Zhang
C. Liu
Guoren Wang
Jian Tang
L. Chen
21
44
0
18 Dec 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning
Mengnan Shi
Chang-rui Liu
Jianbin Jiao
QiXiang Ye
34
1
0
29 Nov 2021
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
40
46
0
10 Nov 2021
RGP: Neural Network Pruning through Its Regular Graph Structure
RGP: Neural Network Pruning through Its Regular Graph Structure
Zhuangzhi Chen
Jingyang Xiang
Yao Lu
Qi Xuan
Xiaoniu Yang
27
1
0
28 Oct 2021
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui
Miao Yin
Yi Xie
Huy Phan
S. Zonouz
Bo Yuan
VLM
35
129
0
26 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
31
13
0
12 Oct 2021
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting
  and Output Merging
RED++ : Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
Edouard Yvinec
Arnaud Dapogny
Matthieu Cord
Kévin Bailly
28
15
0
30 Sep 2021
Interpretable Trade-offs Between Robot Task Accuracy and Compute
  Efficiency
Interpretable Trade-offs Between Robot Task Accuracy and Compute Efficiency
Bineet Ghosh
Sandeep Chinchali
Parasara Sridhar Duggirala
26
3
0
03 Aug 2021
Sparse Flows: Pruning Continuous-depth Models
Sparse Flows: Pruning Continuous-depth Models
Lucas Liebenwein
Ramin Hasani
Alexander Amini
Daniela Rus
26
16
0
24 Jun 2021
Dynamic Resolution Network
Dynamic Resolution Network
Mingjian Zhu
Kai Han
Enhua Wu
Qiulin Zhang
Ying Nie
Zhenzhong Lan
Yunhe Wang
OOD
37
49
0
05 Jun 2021
Low-Regret Active learning
Low-Regret Active learning
Cenk Baykal
Lucas Liebenwein
Dan Feldman
Daniela Rus
UQCV
41
3
0
06 Apr 2021
Neural Pruning via Growing Regularization
Neural Pruning via Growing Regularization
Huan Wang
Can Qin
Yulun Zhang
Y. Fu
37
144
0
16 Dec 2020
Leveraging Neural Network Gradients within Trajectory Optimization for
  Proactive Human-Robot Interactions
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
Simon Schaefer
Karen Leung
Boris Ivanovic
Marco Pavone
27
25
0
02 Dec 2020
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural
  networks
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
Enzo Tartaglione
Andrea Bragagnolo
Attilio Fiandrotti
Marco Grangetto
ODL
UQCV
20
34
0
16 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
50
167
0
21 Oct 2020
On Coresets for Support Vector Machines
On Coresets for Support Vector Machines
M. Tukan
Cenk Baykal
Dan Feldman
Daniela Rus
35
27
0
15 Feb 2020
1