Any-Width Networks

Any-Width Networks

6 December 2020

Jan-Michael Frahm

Papers citing "Any-Width Networks"

11 / 11 papers shown

Title
Coreset-Based Neural Network Compression Abhimanyu Dubey Moitreya Chatterjee Narendra Ahuja 43 79 0 25 Jul 2018
BlockDrop: Dynamic Inference Paths in Residual Networks Zuxuan Wu Tushar Nagarajan Abhishek Kumar Steven J. Rennie L. Davis Kristen Grauman Rogerio Feris 79 463 0 22 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 132 8,807 0 25 Aug 2017
Learning Efficient Convolutional Networks through Network Slimming Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang 94 2,407 0 22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 189 2,513 0 19 Jul 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger VLM 47 138 0 29 Mar 2017
Adaptive Neural Networks for Efficient Inference Tolga Bolukbasi Joseph Wang O. Dekel Venkatesh Saligrama 41 354 0 25 Feb 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 155 3,676 0 31 Aug 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 143 2,344 0 30 Mar 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 189 8,793 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 220 6,628 0 08 Jun 2015