Minimal Gated Unit for Recurrent Neural Networks

31 March 2016

Papers citing "Minimal Gated Unit for Recurrent Neural Networks"

24 / 74 papers shown

Title
Compositional Coding Capsule Network with K-Means Routing for Text Classification Hao Ren Hong-wei Lu 24 53 0 22 Oct 2018
Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction Nelly Elsayed Anthony Maida Magdy A. Bayoumi 6 5 0 16 Oct 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 14 35 0 12 Sep 2018
The Lower The Simpler: Simplifying Hierarchical Recurrent Models Chao Wang Hui Jiang 25 2 0 08 Sep 2018
Single-Microphone Speech Enhancement and Separation Using Deep Learning Morten Kolbaek 12 7 0 31 Aug 2018
Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello Simone Totaro A. Uncini 11 4 0 11 Jul 2018
Sliced Recurrent Neural Networks Zeping Yu Gongshen Liu 18 41 0 06 Jul 2018
Deep Neural Machine Translation with Weakly-Recurrent Units Mattia Antonino Di Gangi Marcello Federico AIMat 20 19 0 10 May 2018
Twin Regularization for online speech recognition Mirco Ravanelli Dmitriy Serdyuk Yoshua Bengio 14 16 0 15 Apr 2018
The unreasonable effectiveness of the forget gate J. Westhuizen Joan Lasenby 22 86 0 13 Apr 2018
Light Gated Recurrent Units for Speech Recognition Mirco Ravanelli Philemon Brakel M. Omologo Yoshua Bengio 14 312 0 26 Mar 2018
A Flexible Approach to Automated RNN Architecture Generation Martin Schrimpf Stephen Merity James Bradbury R. Socher 21 15 0 20 Dec 2017
Deep Learning for Distant Speech Recognition Mirco Ravanelli 27 16 0 17 Dec 2017
Improving speech recognition by revising gated recurrent units Mirco Ravanelli Philemon Brakel M. Omologo Yoshua Bengio 16 52 0 29 Sep 2017
CRNN: A Joint Neural Network for Redundancy Detection Xinyu Fu Eugene Ch’ng U. Aickelin Simon See 26 34 0 04 Jun 2017
Learning Simpler Language Models with the Differential State Framework Alexander Ororbia Tomáš Mikolov David Reitter AI4TS 14 65 0 26 Mar 2017
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks Rahul Dey F. Salem 11 1,361 0 20 Jan 2017
Simplified Minimal Gated Unit Variations for Recurrent Neural Networks Joel Heck F. Salem 13 71 0 12 Jan 2017
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks Yuzhen Lu F. Salem 13 39 0 12 Jan 2017
A Basic Recurrent Neural Network Model F. Salem 22 16 0 29 Dec 2016
Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM) Yuzhen Lu 14 2 0 12 Dec 2016
Parameter Compression of Recurrent Neural Networks and Degradation of Short-term Memory Jonathan A. Cox 8 5 0 02 Dec 2016
Capacity and Trainability in Recurrent Neural Networks Jasmine Collins Jascha Narain Sohl-Dickstein David Sussillo 35 203 0 29 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,906 0 13 Jun 2015