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Accelerating Sparse Deep Neural Networks



Asit Mishra , Jorge Albericio Latorre , Jeff Pool , Darko Stosic , Dusan Stosic , Ganesh Venkatesh , Chong Yu , Paulius Micikevicius


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Self-Supervised GAN Compression



Chong Yu , Jeff Pool

* The appendix for this paper is in the following repository https://gitlab.com/dxxz/Self-Supervised-GAN-Compression-Appendix 

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Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training



Maohua Zhu , Jason Clemons , Jeff Pool , Minsoo Rhu , Stephen W. Keckler , Yuan Xie


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Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip



Feiwen Zhu , Jeff Pool , Michael Andersch , Jeremy Appleyard , Fung Xie

* Published as a conference paper at ICLR 2018 

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Efficient Sparse-Winograd Convolutional Neural Networks



Xingyu Liu , Jeff Pool , Song Han , William J. Dally

* Published as a conference paper at ICLR 2018 

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Exploring the Regularity of Sparse Structure in Convolutional Neural Networks



Huizi Mao , Song Han , Jeff Pool , Wenshuo Li , Xingyu Liu , Yu Wang , William J. Dally

* submitted to NIPS 2017 

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Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks



Minsoo Rhu , Mike O'Connor , Niladrish Chatterjee , Jeff Pool , Stephen W. Keckler


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DSD: Dense-Sparse-Dense Training for Deep Neural Networks



Song Han , Jeff Pool , Sharan Narang , Huizi Mao , Enhao Gong , Shijian Tang , Erich Elsen , Peter Vajda , Manohar Paluri , John Tran , Bryan Catanzaro , William J. Dally

* Published as a conference paper at ICLR 2017 

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Learning both Weights and Connections for Efficient Neural Networks



Song Han , Jeff Pool , John Tran , William J. Dally

* Published as a conference paper at NIPS 2015 

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