A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

16 December 2015

Papers citing "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

31 / 431 papers shown

Title
End-to-end Neural Coreference Resolution Kenton Lee Luheng He M. Lewis Luke Zettlemoyer LRM BDL 39 890 0 21 Jul 2017
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks Nils Reimers Iryna Gurevych 28 288 0 21 Jul 2017
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones Z. Assylbekov Rustem Takhanov Bagdat Myrzakhmetov Jonathan North Washington 35 17 0 20 Jul 2017
Deep Active Learning for Named Entity Recognition Yanyao Shen Hyokun Yun Zachary Chase Lipton Y. Kronrod Anima Anandkumar HAI 36 454 0 19 Jul 2017
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation Antonio Valerio Miceli Barone Rico Sennrich 26 157 0 07 Jul 2017
Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation Jean-Benoit Delbrouck Stéphane Dupont Omar Seddati 25 8 0 04 Jul 2017
Deep Learning: A Bayesian Perspective Nicholas G. Polson Vadim Sokolov BDL 36 115 0 01 Jun 2017
Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei Wengong Jin Regina Barzilay Tommi Jaakkola GNN 45 137 0 25 May 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 45 585 0 22 May 2017
Imagination improves Multimodal Translation Desmond Elliott Ákos Kádár 29 136 0 11 May 2017
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks Morten Kolbaek Dong Yu Zheng-Hua Tan Jesper Jensen 27 721 0 18 Mar 2017
Nematus: a Toolkit for Neural Machine Translation Rico Sennrich Orhan Firat Kyunghyun Cho Alexandra Birch Barry Haddow ... Marcin Junczys-Dowmunt Samuel Laubli Antonio Valerio Miceli Barone Jozef Mokry Maria Nadejde 37 407 0 13 Mar 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 21 885 0 01 Mar 2017
Doubly-Attentive Decoder for Multi-modal Neural Machine Translation Iacer Calixto Qun Liu N. Campbell 40 179 0 04 Feb 2017
Incorporating Global Visual Features into Attention-Based Neural Machine Translation Iacer Calixto Qun Liu Nick Campbell 32 154 0 23 Jan 2017
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling Zhe Gan Chunyuan Li Changyou Chen Yunchen Pu Qinliang Su Lawrence Carin BDL UQCV 53 41 0 23 Nov 2016
Quasi-Recurrent Neural Networks James Bradbury Stephen Merity Caiming Xiong R. Socher 44 437 0 05 Nov 2016
Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat A. Wilson Yunus Saatchi Zhiting Hu Eric Xing BDL 13 104 0 27 Oct 2016
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 36 69 0 26 Oct 2016
Multiplicative LSTM for sequence modelling Ben Krause Liang Lu Iain Murray Steve Renals 35 208 0 26 Sep 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 41 2,730 0 26 Sep 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Lizhen Qu NoLa 51 1,435 0 13 Sep 2016
Using the Output Embedding to Improve Language Models Ofir Press Lior Wolf 27 728 0 20 Aug 2016
Recurrent Highway Networks J. Zilly R. Srivastava Jan Koutník Jürgen Schmidhuber 15 413 0 12 Jul 2016
Improved Recurrent Neural Networks for Session-based Recommendations Yong Kiam Tan Xinxing Xu Yong-Jin Liu 26 732 0 27 Jun 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016
Recurrent Dropout without Memory Loss Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 29 222 0 16 Mar 2016
Modeling the Temporal Nature of Human Behavior for Demographics Prediction Bjarke Felbo P. Sundsøy Alex Pentland Sune Lehmann Yves-Alexandre de Montjoye 27 14 0 20 Nov 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 202 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,638 0 03 Jul 2012