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State-Regularized Recurrent Neural Networks

25 January 2019

Cheng Wang

Papers citing "State-Regularized Recurrent Neural Networks"

48 / 48 papers shown

Title
Context-Free Transductions with Neural Stacks Sophie Hao William Merrill Dana Angluin Robert Frank Noah Amsel Andrew Benz S. Mendelsohn GNN 52 38 0 08 Sep 2018
On the Practical Computational Power of Finite Precision RNNs for Language Recognition Gail Weiss Yoav Goldberg Eran Yahav 80 267 0 13 May 2018
Noisin: Unbiased Regularization for Recurrent Neural Networks Adji Bousso Dieng Rajesh Ranganath Jaan Altosaar David M. Blei 57 22 0 03 May 2018
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN Shuai Li W. Li Chris Cook Ce Zhu Yanbo Gao 86 731 0 13 Mar 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 97 4,845 0 04 Mar 2018
Learning Longer-term Dependencies in RNNs with Auxiliary Losses Trieu H. Trinh Andrew M. Dai Thang Luong Quoc V. Le 90 180 0 01 Mar 2018
Differentiable Dynamic Programming for Structured Prediction and Attention A. Mensch Mathieu Blondel 60 131 0 11 Feb 2018
A Comparative Study of Rule Extraction for Recurrent Neural Networks Qinglong Wang Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles 60 11 0 16 Jan 2018
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples Gail Weiss Yoav Goldberg Eran Yahav 47 186 0 27 Nov 2017
Z-Forcing: Training Stochastic Recurrent Networks Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio BDL 72 185 0 15 Nov 2017
Dilated Recurrent Neural Networks Shiyu Chang Yang Zhang Wei Han Mo Yu Xiaoxiao Guo Wei Tan Xiaodong Cui Michael Witbrock M. Hasegawa-Johnson Thomas S. Huang 85 302 0 05 Oct 2017
An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks Qinglong Wang Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles 45 60 0 29 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks Victor Campos Brendan Jou Xavier Giró-i-Nieto Jordi Torres Shih-Fu Chang 63 219 0 22 Aug 2017
Regularizing and Optimizing LSTM Language Models Stephen Merity N. Keskar R. Socher 173 1,096 0 07 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 786 132,363 0 12 Jun 2017
Learning to Skim Text Adams Wei Yu Hongrae Lee Quoc V. Le RALM 70 124 0 23 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 219 2,905 0 14 Mar 2017
Machine Learning on Sequential Data Using a Recurrent Weighted Average Jared Ostmeyer L. Cowell 43 32 0 03 Mar 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 408 3,813 0 28 Feb 2017
Frustratingly Short Attention Spans in Neural Language Modeling Michal Daniluk Tim Rocktaschel Johannes Welbl Sebastian Riedel 100 112 0 15 Feb 2017
Automatic Rule Extraction from Long Short Term Memory Networks W. James Murdoch Arthur Szlam 58 87 0 08 Feb 2017
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs Li Jing Yichen Shen T. Dubček J. Peurifoy S. Skirlo Yann LeCun Max Tegmark Marin Soljacic 85 178 0 15 Dec 2016
Full-Capacity Unitary Recurrent Neural Networks Scott Wisdom Thomas Powers J. Hershey Jonathan Le Roux L. Atlas 81 293 0 31 Oct 2016
Recurrent Highway Networks J. Zilly R. Srivastava Jan Koutník Jürgen Schmidhuber 96 418 0 12 Jul 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks Hendrik Strobelt Sebastian Gehrmann Hanspeter Pfister Alexander M. Rush HAI 65 83 0 23 Jun 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 91 5 0 30 May 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 117 398 0 24 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 203 2,340 0 09 May 2016
Higher Order Recurrent Neural Networks Rohollah Soltani Hui Jiang 49 59 0 30 Apr 2016
Recurrent Batch Normalization Tim Cooijmans Nicolas Ballas César Laurent Çağlar Gülçehre Aaron Courville ODL 58 410 0 30 Mar 2016
Architectural Complexity Measures of Recurrent Neural Networks Saizheng Zhang Yuhuai Wu Tong Che Zhouhan Lin Roland Memisevic Ruslan Salakhutdinov Yoshua Bengio GNN 68 155 0 26 Feb 2016
Associative Long Short-Term Memory Ivo Danihelka Greg Wayne Benigno Uria Nal Kalchbrenner Alex Graves 70 178 0 09 Feb 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 189 1,650 0 16 Dec 2015
Unitary Evolution Recurrent Neural Networks Martín Arjovsky Amar Shah Yoshua Bengio ODL 75 771 0 20 Nov 2015
Semi-supervised Sequence Learning Andrew M. Dai Quoc V. Le SSL 134 1,234 0 04 Nov 2015
Learning to Transduce with Unbounded Memory Edward Grefenstette Karl Moritz Hermann Mustafa Suleyman Phil Blunsom 96 297 0 08 Jun 2015
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 93 721 0 03 Apr 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 601 12,741 0 11 Dec 2014
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks Rie Johnson Tong Zhang 103 882 0 01 Dec 2014
Learning Stochastic Recurrent Networks Justin Bayer Christian Osendorfer BDL 81 274 0 27 Nov 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 108 2,331 0 20 Oct 2014
Learning to Execute Wojciech Zaremba Ilya Sutskever ODL 90 560 0 17 Oct 2014
Memory Networks Jason Weston S. Chopra Antoine Bordes GNN KELM 147 1,709 0 15 Oct 2014
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 155 2,778 0 08 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 578 27,327 0 01 Sep 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 165 6,632 0 22 Dec 2012
Training Restricted Boltzmann Machines on Word Observations George E. Dahl Ryan P. Adams Hugo Larochelle 75 95 0 25 Feb 2012