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Filter Distillation for Network Compression
v1v2v3v4 (latest)

Filter Distillation for Network Compression

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018
20 July 2018
Xavier Suau
Luca Zappella
N. Apostoloff
ArXiv (abs)PDFHTML

Papers citing "Filter Distillation for Network Compression"

23 / 23 papers shown
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression ExperimentsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Angie Boggust
Venkatesh Sivaraman
Yannick Assogba
Donghao Ren
Dominik Moritz
Fred Hohman
VLM
224
10
0
06 Aug 2024
Greedy Output Approximation: Towards Efficient Structured Pruning for
  LLMs Without Retraining
Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
Jianwei Li
Yijun Dong
Qi Lei
374
8
0
26 Jul 2024
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
Isha Garg
Christian Koguchi
Eshan Verma
Daniel Ulbricht
137
1
0
05 Jul 2024
Subspace Node Pruning
Subspace Node Pruning
Joshua Offergeld
Marcel van Gerven
Nasir Ahmad
360
1
0
26 May 2024
Robustness to distribution shifts of compressed networks for edge
  devices
Robustness to distribution shifts of compressed networks for edge devices
Lulan Shen
Ali Edalati
Brett H. Meyer
Warren Gross
James J. Clark
184
0
0
22 Jan 2024
Breaking through Deterministic Barriers: Randomized Pruning Mask
  Generation and Selection
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
Jianwei Li
Weizhi Gao
Qi Lei
Dongkuan Xu
349
3
0
19 Oct 2023
Neural Language Model Pruning for Automatic Speech Recognition
Neural Language Model Pruning for Automatic Speech Recognition
Leonardo Emili
Thiago Fraga-Silva
Ernest Pusateri
M. Nußbaum-Thom
Youssef Oualil
222
3
0
05 Oct 2023
Filter Pruning based on Information Capacity and Independence
Filter Pruning based on Information Capacity and IndependenceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Xiaolong Tang
Shuo Ye
Yufeng Shi
Tianheng Hu
Qinmu Peng
Xinge You
VLM
272
6
0
07 Mar 2023
Sauron U-Net: Simple automated redundancy elimination in medical image
  segmentation via filter pruning
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruningNeurocomputing (Neurocomputing), 2022
Juan Miguel Valverde
Artem Shatillo
Jussi Tohka
AAML
208
12
0
27 Sep 2022
Neural Network Compression via Effective Filter Analysis and
  Hierarchical Pruning
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Ziqi Zhou
Li Lian
Yilong Yin
Ze Wang
104
2
0
07 Jun 2022
Receding Neuron Importances for Structured Pruning
Receding Neuron Importances for Structured Pruning
Mihai Suteu
Wenhan Luo
110
2
0
13 Apr 2022
Supervised Robustness-preserving Data-free Neural Network Pruning
Supervised Robustness-preserving Data-free Neural Network PruningIEEE International Conference on Engineering of Complex Computer Systems (ICECCS), 2022
Mark Huasong Meng
Guangdong Bai
Sin Gee Teo
Jin Song Dong
AAML
274
4
0
02 Apr 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 NetworksInternational Conference on Machine Learning (ICML), 2022
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
387
58
0
09 Mar 2022
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery
i-SpaSP: Structured Neural Pruning via Sparse Signal RecoveryConference on Learning for Dynamics & Control (L4DC), 2021
Cameron R. Wolfe
Anastasios Kyrillidis
196
1
0
07 Dec 2021
Designing the Architecture of a Convolutional Neural Network
  Automatically for Diabetic Retinopathy Diagnosis
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
Fahman Saeed
M. Hussain
Hatim Aboalsamh
Fadwa Al Adel
A. Owaifeer
219
6
0
08 Oct 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom
Kyung-Hwan Shim
Jee-Hyun Hwang
CVBM
225
18
0
19 Mar 2021
Scaling Up Exact Neural Network Compression by ReLU Stability
Scaling Up Exact Neural Network Compression by ReLU StabilityNeural Information Processing Systems (NeurIPS), 2021
Thiago Serra
Xin Yu
Abhinav Kumar
Srikumar Ramalingam
317
27
0
15 Feb 2021
Layer-Wise Data-Free CNN Compression
Layer-Wise Data-Free CNN CompressionInternational Conference on Pattern Recognition (ICPR), 2020
Maxwell Horton
Yanzi Jin
Ali Farhadi
Mohammad Rastegari
MQ
232
19
0
18 Nov 2020
HALO: Learning to Prune Neural Networks with Shrinkage
HALO: Learning to Prune Neural Networks with Shrinkage
Skyler Seto
M. Wells
Wenyu Zhang
349
0
0
24 Aug 2020
T-Basis: a Compact Representation for Neural Networks
T-Basis: a Compact Representation for Neural NetworksInternational Conference on Machine Learning (ICML), 2020
Anton Obukhov
M. Rakhuba
Stamatios Georgoulis
Menelaos Kanakis
Dengxin Dai
Luc Van Gool
293
32
0
13 Jul 2020
Now that I can see, I can improve: Enabling data-driven finetuning of
  CNNs on the edge
Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge
A. Rajagopal
C. Bouganis
92
5
0
15 Jun 2020
Domain Adaptation Regularization for Spectral Pruning
Domain Adaptation Regularization for Spectral PruningBritish Machine Vision Conference (BMVC), 2019
Laurent Dillard
Yosuke Shinya
Taiji Suzuki
212
1
0
26 Dec 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Yang He
Ping Liu
Linchao Zhu
Yi Yang
VLM
206
60
0
08 Apr 2019
1