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1705.07283
Cited By
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
Haolin Chen
Philip N. Garner
47
1
0
16 Sep 2024
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
Mahsa Taheri
Fang Xie
Johannes Lederer
21
0
0
09 May 2022
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
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
Lorenz Kummer
AI4CE
32
0
0
28 Jul 2021
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
L_0
L
0
Regularization
Yaniv Shulman
38
3
0
07 Dec 2020
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
Lorenzo Valerio
F. M. Nardini
A. Passarella
R. Perego
12
12
0
17 Nov 2020
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
22
3
0
10 Nov 2020
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
Anna Kuzina
Evgenii Egorov
Evgeny Burnaev
MedIm
15
19
0
15 Aug 2019
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
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
Carl Lemaire
Andrew Achkar
Pierre-Marc Jodoin
16
92
0
23 Nov 2018
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
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
4
36
0
12 Jun 2018
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
J. A. G. Higuera
D. Meger
Gregory Dudek
BDL
12
39
0
06 Mar 2018
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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