Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization

28 July 2017

Papers citing "Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization"

9 / 9 papers shown

Title
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning Nikolaos Kaparinos Vasileios Mezaris CVBM 57 0 0 28 Jan 2025
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning Shangli Zhou Mikhail A. Bragin Lynn Pepin Deniz Gurevin Fei Miao Caiwen Ding 29 3 0 08 Apr 2023
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 50 3 0 22 Aug 2022
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation Deniz Gurevin Shangli Zhou Lynn Pepin Bingbing Li Mikhail A. Bragin Caiwen Ding Fei Miao 26 3 0 18 Dec 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 3DPC MedIm 30 52 0 08 May 2020
Compressing Weight-updates for Image Artifacts Removal Neural Networks Y. Lam Alireza Zare Çağlar Aytekin Francesco Cricri J. Lainema Emre B. Aksu M. Hannuksela 13 16 0 10 May 2019
Stochastic Layer-Wise Precision in Deep Neural Networks Griffin Lacey Graham W. Taylor S. Areibi 29 18 0 03 Jul 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 24 1,021 0 30 May 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 30 434 0 10 Apr 2018