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Structured Bayesian Pruning via Log-Normal Multiplicative Noise

Structured Bayesian Pruning via Log-Normal Multiplicative Noise

20 May 2017
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
    BDL
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Papers citing "Structured Bayesian Pruning via Log-Normal Multiplicative Noise"

21 / 21 papers shown
Title
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
A Bayesian Interpretation of Adaptive Low-Rank Adaptation
Haolin Chen
Philip N. Garner
47
1
0
16 Sep 2024
Cluster Generation via Deep Energy-Based Model
Cluster Generation via Deep Energy-Based Model
A. Y. Artsukevich
S. Lepeshkin
21
0
0
17 Jun 2022
Statistical Guarantees for Approximate Stationary Points of Simple
  Neural Networks
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks
Mahsa Taheri
Fang Xie
Johannes Lederer
21
0
0
09 May 2022
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Y. Li
Weizhi Ma
C. L. Philip Chen
M. Zhang
Yiqun Liu
Shaoping Ma
Yue Yang
25
9
0
05 Apr 2022
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
13
89
0
26 Oct 2021
Dynamic Neural Network Architectural and Topological Adaptation and
  Related Methods -- A Survey
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
32
0
0
28 Jul 2021
R-Drop: Regularized Dropout for Neural Networks
R-Drop: Regularized Dropout for Neural Networks
Xiaobo Liang
Lijun Wu
Juntao Li
Yue Wang
Qi Meng
Tao Qin
Wei Chen
M. Zhang
Tie-Yan Liu
31
424
0
28 Jun 2021
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary
  Gates and $L_0$ Regularization
DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and L0L_0L0​ Regularization
Yaniv Shulman
38
3
0
07 Dec 2020
Rethinking Weight Decay For Efficient Neural Network Pruning
Rethinking Weight Decay For Efficient Neural Network Pruning
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
21
25
0
20 Nov 2020
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
Lorenzo Valerio
F. M. Nardini
A. Passarella
R. Perego
12
12
0
17 Nov 2020
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
22
3
0
10 Nov 2020
Neural Network Compression Via Sparse Optimization
Neural Network Compression Via Sparse Optimization
Tianyi Chen
Bo Ji
Yixin Shi
Tianyu Ding
Biyi Fang
Sheng Yi
Xiao Tu
20
15
0
10 Nov 2020
Bayesian Generative Models for Knowledge Transfer in MRI Semantic
  Segmentation Problems
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
15
19
0
15 Aug 2019
Training CNNs with Selective Allocation of Channels
Training CNNs with Selective Allocation of Channels
Jongheon Jeong
Jinwoo Shin
CVBM
31
15
0
11 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
VLM
17
71
0
11 May 2019
Structured Pruning of Neural Networks with Budget-Aware Regularization
Structured Pruning of Neural Networks with Budget-Aware Regularization
Carl Lemaire
Andrew Achkar
Pierre-Marc Jodoin
16
92
0
23 Nov 2018
Structured Variational Learning of Bayesian Neural Networks with
  Horseshoe Priors
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
S. Ghosh
Jiayu Yao
Finale Doshi-Velez
BDL
UQCV
13
77
0
13 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
4
36
0
12 Jun 2018
Nonparametric Bayesian Deep Networks with Local Competition
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
4
32
0
19 May 2018
Synthesizing Neural Network Controllers with Probabilistic Model based
  Reinforcement Learning
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning
J. A. G. Higuera
D. Meger
Gregory Dudek
BDL
12
39
0
06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
20
178
0
28 Feb 2018
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