Universal Deep Neural Network Compression

7 February 2018

Papers citing "Universal Deep Neural Network Compression"

14 / 14 papers shown

Title
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer J. Gliozzo Giosuè Cataldo Marinò A. Bonometti Marco Frasca Dario Malchiodi 21 0 0 22 Dec 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 15 2 0 13 Oct 2023
Deep learning model compression using network sensitivity and gradients M. Sakthi N. Yadla Raj Pawate 21 2 0 11 Oct 2022
Croesus: Multi-Stage Processing and Transactions for Video-Analytics in Edge-Cloud Systems Samaa Gazzaz Vishal Chakraborty Faisal Nawab 30 10 0 31 Dec 2021
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment Zhuangzhuang Dai Muhamad Risqi U. Saputra Chris Xiaoxuan Lu Andrew Markham A. Trigoni 34 1 0 10 Dec 2021
Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations Xinyu Zhang Ian Colbert Ken Kreutz-Delgado Srinjoy Das MQ 32 11 0 15 Oct 2021
Compact representations of convolutional neural networks via weight pruning and quantization Giosuè Cataldo Marinò A. Petrini D. Malchiodi Marco Frasca MQ 21 4 0 28 Aug 2021
An Information-Theoretic Justification for Model Pruning Berivan Isik Tsachy Weissman Albert No 95 35 0 16 Feb 2021
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 27 119 0 08 May 2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices Chunhua Deng Siyu Liao Yi Xie Keshab K. Parhi Xuehai Qian Bo Yuan 35 93 0 23 Apr 2020
Variable Rate Deep Image Compression With a Conditional Autoencoder Yoojin Choi Mostafa El-Khamy Jungwon Lee DRL 22 223 0 11 Sep 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek 49 92 0 27 Jul 2019
Entropy-Constrained Training of Deep Neural Networks Simon Wiedemann Arturo Marbán K. Müller Wojciech Samek 22 27 0 18 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017