Auto-Encoding Variational Neural Machine Translation
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[1] David Barber,et al. Generative Neural Machine Translation , 2018, NeurIPS.
[2] Ryan Cotterell,et al. Explaining and Generalizing Back-Translation through Wake-Sleep , 2018, ArXiv.
[3] Trevor Cohn,et al. A Stochastic Decoder for Neural Machine Translation , 2018, ACL.
[4] Tomas Mikolov,et al. Learning Word Vectors for 157 Languages , 2018, LREC.
[5] Tomas Mikolov,et al. Advances in Pre-Training Distributed Word Representations , 2017, LREC.
[6] Alexander A. Alemi,et al. Fixing a Broken ELBO , 2017, ICML.
[7] David Duvenaud,et al. Backpropagation through the Void: Optimizing control variates for black-box gradient estimation , 2017, ICLR.
[8] Philipp Koehn,et al. Findings of the 2017 Conference on Machine Translation (WMT17) , 2017, WMT.
[9] Felix Hieber,et al. Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning , 2017, EMNLP.
[10] Ondrej Bojar,et al. Results of the WMT17 Metrics Shared Task , 2017, WMT.
[11] Antonio Valerio Miceli Barone,et al. The University of Edinburgh’s Neural MT Systems for WMT17 , 2017, WMT.
[12] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[13] Graham Neubig,et al. Stronger Baselines for Trustable Results in Neural Machine Translation , 2017, NMT@ACL.
[14] Philipp Koehn,et al. Six Challenges for Neural Machine Translation , 2017, NMT@ACL.
[15] Pierre Isabelle,et al. A Challenge Set Approach to Evaluating Machine Translation , 2017, EMNLP.
[16] Ivan Titov,et al. Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols , 2017, NIPS.
[17] Jascha Sohl-Dickstein,et al. REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models , 2017, NIPS.
[18] Adrià de Gispert,et al. Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices , 2016, EACL.
[19] Martin Wattenberg,et al. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation , 2016, TACL.
[20] Yann Dauphin,et al. A Convolutional Encoder Model for Neural Machine Translation , 2016, ACL.
[21] Christopher Burgess,et al. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework , 2016, ICLR 2016.
[22] Ben Poole,et al. Categorical Reparameterization with Gumbel-Softmax , 2016, ICLR.
[23] Tie-Yan Liu,et al. Dual Learning for Machine Translation , 2016, NIPS.
[24] Jiajun Zhang,et al. Exploiting Source-side Monolingual Data in Neural Machine Translation , 2016, EMNLP.
[25] Karin M. Verspoor,et al. Findings of the 2016 Conference on Machine Translation , 2016, WMT.
[26] Ondrej Bojar,et al. Results of the WMT13 Metrics Shared Task , 2016, WMT@EMNLP.
[27] Maosong Sun,et al. Semi-Supervised Learning for Neural Machine Translation , 2016, ACL.
[28] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[29] Min Zhang,et al. Variational Neural Machine Translation , 2016, EMNLP.
[30] Dustin Tran,et al. Automatic Differentiation Variational Inference , 2016, J. Mach. Learn. Res..
[31] Ole Winther,et al. Ladder Variational Autoencoders , 2016, NIPS.
[32] Honglak Lee,et al. Learning Structured Output Representation using Deep Conditional Generative Models , 2015, NIPS.
[33] S. Chopra,et al. Sequence Level Training with Recurrent Neural Networks , 2015, ICLR.
[34] Rico Sennrich,et al. Improving Neural Machine Translation Models with Monolingual Data , 2015, ACL.
[35] Samy Bengio,et al. Generating Sentences from a Continuous Space , 2015, CoNLL.
[36] Philipp Koehn,et al. Results of the WMT15 Metrics Shared Task , 2015, WMT@EMNLP.
[37] Alexandra Birch,et al. Neural Machine Translation of Rare Words with Subword Units , 2015, ACL.
[38] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[39] Hal Daumé,et al. Deep Unordered Composition Rivals Syntactic Methods for Text Classification , 2015, ACL.
[40] Richard Socher,et al. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing , 2015, ICML.
[41] Yoshua Bengio,et al. On Using Monolingual Corpora in Neural Machine Translation , 2015, ArXiv.
[42] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[43] Khalil Sima'an,et al. Fitting Sentence Level Translation Evaluation with Many Dense Features , 2014, EMNLP.
[44] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[45] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[46] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[47] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[48] Max Welling,et al. Semi-supervised Learning with Deep Generative Models , 2014, NIPS.
[49] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[50] Karol Gregor,et al. Neural Variational Inference and Learning in Belief Networks , 2014, ICML.
[51] Daan Wierstra,et al. Stochastic Backpropagation and Approximate Inference in Deep Generative Models , 2014, ICML.
[52] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[53] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[54] Phil Blunsom,et al. Recurrent Continuous Translation Models , 2013, EMNLP.
[55] Ondrej Bojar,et al. Results of the WMT14 Metrics Shared Task , 2013 .
[56] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[57] Alon Lavie,et al. Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems , 2011, WMT@EMNLP.
[58] Noah A. Smith. Linguistic Structure Prediction , 2011, Synthesis Lectures on Human Language Technologies.
[59] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[60] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[61] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[62] Jörg Tiedemann,et al. News from OPUS — A collection of multilingual parallel corpora with tools and interfaces , 2009 .
[63] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[64] Philipp Koehn,et al. Moses: Open Source Toolkit for Statistical Machine Translation , 2007, ACL.
[65] Silvia Bernardini,et al. A New Approach to the Study of Translationese: Machine-learning the Difference between Original and Translated Text , 2005, Lit. Linguistic Comput..
[66] Alon Lavie,et al. METEOR: An Automatic Metric for MT Evaluation with Improved Correlation with Human Judgments , 2005, IEEvaluation@ACL.
[67] Shankar Kumar,et al. Minimum Bayes-Risk Decoding for Statistical Machine Translation , 2004, NAACL.
[68] Yann LeCun,et al. Large Scale Online Learning , 2003, NIPS.
[69] Salim Roukos,et al. Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.
[70] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine Learning.
[71] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[72] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[73] H. Robbins. A Stochastic Approximation Method , 1951 .
[74] Kenneth Heafield,et al. Copied Monolingual Data Improves Low-Resource Neural Machine Translation , 2017, WMT.
[75] Ondrej Bojar,et al. Results of the WMT16 Metrics Shared Task , 2016 .
[76] Marcello Federico,et al. Report on the 11th IWSLT evaluation campaign , 2014, IWSLT.
[77] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[78] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[79] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[80] Matthew G. Snover,et al. A Study of Translation Edit Rate with Targeted Human Annotation , 2006, AMTA.
[81] Philipp Koehn,et al. Europarl: A Parallel Corpus for Statistical Machine Translation , 2005, MTSUMMIT.
[82] Matthew J. Beal. Variational algorithms for approximate Bayesian inference , 2003 .