Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks

10 November 2018

Papers citing "Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks"

10 / 10 papers shown

Title
A Survey on Compiler Autotuning using Machine Learning Amir H. Ashouri W. Killian John Cavazos G. Palermo Cristina Silvano 60 200 0 13 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob S. Kligys Bo Chen Menglong Zhu Matthew Tang Andrew G. Howard Hartwig Adam Dmitry Kalenichenko MQ 139 3,111 0 15 Dec 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks Huizi Mao Song Han Jeff Pool Wenshuo Li Xingyu Liu Yu Wang W. Dally 90 243 0 24 May 2017
A Regularized Framework for Sparse and Structured Neural Attention Vlad Niculae Mathieu Blondel 78 100 0 22 May 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 113 3,013 0 27 Mar 2017
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 168 2,337 0 12 Aug 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,465 0 24 Feb 2016
Sparsifying Neural Network Connections for Face Recognition Yi Sun Xiaogang Wang Xiaoou Tang 3DH CVBM 59 141 0 07 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 245 8,821 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 302 6,660 0 08 Jun 2015