Factorization tricks for LSTM networks

Factorization tricks for LSTM networks

31 March 2017

Oleksii Kuchaiev

Boris Ginsburg

Papers citing "Factorization tricks for LSTM networks"

14 / 14 papers shown

Title
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer Noam M. Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton J. Dean MoE 158 2,614 0 23 Jan 2017
Achieving Human Parity in Conversational Speech Recognition Wayne Xiong J. Droppo Xuedong Huang Frank Seide M. Seltzer A. Stolcke Dong Yu Geoffrey Zweig 57 578 0 17 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 846 14,493 0 07 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 810 6,768 0 26 Sep 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 45 715 0 28 Mar 2016
Exploring the Limits of Language Modeling Rafal Jozefowicz Oriol Vinyals M. Schuster Noam M. Shazeer Yonghui Wu 118 1,143 0 07 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 452 7,952 0 13 Jun 2015
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 102 2,768 0 08 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 923 99,991 0 04 Sep 2014
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling Ciprian Chelba Tomas Mikolov M. Schuster Qi Ge T. Brants P. Koehn T. Robinson 115 1,099 0 11 Dec 2013
Predicting Parameters in Deep Learning Misha Denil B. Shakibi Laurent Dinh MarcÁurelio Ranzato Nando de Freitas OOD 136 1,314 0 03 Jun 2013
On the difficulty of training Recurrent Neural Networks Razvan Pascanu Tomas Mikolov Yoshua Bengio ODL 128 5,318 0 21 Nov 2012
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 108 3,935 0 13 Feb 2012