Entropy-Constrained Training of Deep Neural Networks

18 December 2018

Papers citing "Entropy-Constrained Training of Deep Neural Networks"

8 / 8 papers shown

Title
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference Deepika Bablani J. McKinstry S. K. Esser R. Appuswamy D. Modha MQ 20 4 0 30 Jan 2023
FantastIC4: A Hardware-Software Co-Design Approach for Efficiently Running 4bit-Compact Multilayer Perceptrons Simon Wiedemann Suhas Shivapakash P. Wiedemann Daniel Becking Wojciech Samek F. Gerfers Thomas Wiegand MQ 21 7 0 17 Dec 2020
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 46 92 0 27 Jul 2019
DeepCABAC: Context-adaptive binary arithmetic coding for deep neural network compression Simon Wiedemann H. Kirchhoffer Stefan Matlage Paul Haase Arturo Marbán ... Ahmed Osman D. Marpe H. Schwarz Thomas Wiegand Wojciech Samek MQ 11 21 0 15 May 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 24 1,330 0 07 Mar 2019
Multi-Kernel Prediction Networks for Denoising of Burst Images Talmaj Marinc Vignesh Srinivasan Serhan Gül C. Hellge Wojciech Samek 22 26 0 05 Feb 2019
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 81 85 0 07 Feb 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017