Analyzing Compression Techniques for Computer Vision

14 May 2023

Papers citing "Analyzing Compression Techniques for Computer Vision"

17 / 17 papers shown

Title
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 331 665 0 21 Apr 2021
Optimal stable Ornstein-Uhlenbeck regression Hiroki Masuda 27 30 0 08 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 81 99 0 05 Jun 2020
Improved Knowledge Distillation via Teacher Assistant Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Nir Levine Akihiro Matsukawa H. Ghasemzadeh 92 1,074 0 09 Feb 2019
Quantizing deep convolutional networks for efficient inference: A whitepaper Raghuraman Krishnamoorthi MQ 119 1,013 0 21 Jun 2018
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 185 2,352 0 30 Mar 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 142 1,930 0 24 Feb 2016
Binarized Neural Networks Itay Hubara Daniel Soudry Ran El-Yaniv MQ 161 1,349 0 08 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 227 8,821 0 01 Oct 2015
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 74 258 0 14 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 132 1,191 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 304 19,580 0 09 Mar 2015
Training deep neural networks with low precision multiplications Matthieu Courbariaux Yoshua Bengio J. David MQ 64 49 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 270 3,870 0 19 Dec 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 153 1,688 0 02 Apr 2014
Do Deep Nets Really Need to be Deep? Lei Jimmy Ba R. Caruana 160 2,117 0 21 Dec 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 168 1,315 0 03 Jun 2013