Using the Output Embedding to Improve Language Models

Using the Output Embedding to Improve Language Models

20 August 2016

Ofir Press

Lior Wolf

Papers citing "Using the Output Embedding to Improve Language Models"

15 / 165 papers shown

Title
Neural Language Modeling by Jointly Learning Syntax and Lexicon Songlin Yang Zhouhan Lin Chin-Wei Huang Aaron Courville 46 178 0 02 Nov 2017
Improving Lexical Choice in Neural Machine Translation Toan Q. Nguyen David Chiang 29 86 0 03 Oct 2017
Neural Optimizer Search with Reinforcement Learning Irwan Bello Barret Zoph Vijay Vasudevan Quoc V. Le ODL 29 383 0 21 Sep 2017
Gradual Learning of Recurrent Neural Networks Ziv Aharoni Gal Rattner Haim Permuter AI4CE 30 4 0 29 Aug 2017
Regularizing and Optimizing LSTM Language Models Stephen Merity N. Keskar R. Socher 95 1,091 0 07 Aug 2017
Revisiting Activation Regularization for Language RNNs Stephen Merity Bryan McCann R. Socher 33 44 0 03 Aug 2017
YellowFin and the Art of Momentum Tuning Jian Zhang Ioannis Mitliagkas ODL 23 108 0 12 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
A Deep Reinforced Model for Abstractive Summarization Romain Paulus Caiming Xiong R. Socher AI4TS 53 1,549 0 11 May 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
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,330 0 05 Nov 2016
Achieving Human Parity in Conversational Speech Recognition Wayne Xiong J. Droppo Xuedong Huang Frank Seide M. Seltzer A. Stolcke Dong Yu Geoffrey Zweig 41 576 0 17 Oct 2016
Multiplicative LSTM for sequence modelling Ben Krause Liang Lu Iain Murray Steve Renals 35 208 0 26 Sep 2016
Recurrent Highway Networks J. Zilly R. Srivastava Jan Koutník Jürgen Schmidhuber 24 413 0 12 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015