Structured Bayesian Pruning via Log-Normal Multiplicative Noise

20 May 2017

Dmitry Vetrov

Papers citing "Structured Bayesian Pruning via Log-Normal Multiplicative Noise"

24 / 24 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 27 9 0 05 Apr 2022
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction Marcin Pietroñ Dominik Zurek 14 13 0 28 Dec 2021
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 15 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 $L_0$ 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 23 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 24 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 22 15 0 10 Nov 2020
Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems Anna Kuzina Evgenii Egorov Evgeny Burnaev MedIm 18 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
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 11 149 0 25 Apr 2019
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 19 92 0 23 Nov 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 14 171 0 01 Oct 2018
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 15 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 9 36 0 12 Jun 2018
Nonparametric Bayesian Deep Networks with Local Competition Konstantinos P. Panousis S. Chatzis Sergios Theodoridis BDL 9 32 0 19 May 2018
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning J. A. G. Higuera D. Meger Gregory Dudek BDL 17 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