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Song Han

EIE: Efficient Inference Engine on Compressed Deep Neural Network

May 03, 2016
Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

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* External Links: TheNextPlatform: http://goo.gl/f7qX0L ; O'Reilly: https://goo.gl/Id1HNT ; Hacker News: https://goo.gl/KM72SV ; Embedded-vision: http://goo.gl/joQNg8 ; Talk at NVIDIA GTC'16: http://goo.gl/6wJYvn ; Talk at Embedded Vision Summit: https://goo.gl/7abFNe ; Talk at Stanford University: https://goo.gl/6lwuer. Published as a conference paper in ISCA 2016

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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Feb 15, 2016
Song Han, Huizi Mao, William J. Dally

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* Published as a conference paper at ICLR 2016 (oral)

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Generate Image Descriptions based on Deep RNN and Memory Cells for Images Features

Feb 05, 2016
Shijian Tang, Song Han

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Learning both Weights and Connections for Efficient Neural Networks

Oct 30, 2015
Song Han, Jeff Pool, John Tran, William J. Dally

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* Published as a conference paper at NIPS 2015

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Robust Face Recognition using Local Illumination Normalization and Discriminant Feature Point Selection

Dec 11, 2012
Song Han, Jinsong Kim, Cholhun Kim, Jongchol Jo, Sunam Han

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