Regularization techniques for fine-tuning in neural machine translation

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958

Earlier work this paper cites.

Statistical Significance Tests for Machine Translation Evaluation

Philipp Koehn. 2004 · 2004

Earlier work this paper cites.

Adaptation of maximum entropy capitalizer: Little data can help a lot

Ciprian Chelba and Alex Acero. 2006 · 2006

Earlier work this paper cites.

Reducing the dimensionality of data with neural networks

Geoffrey E Hinton and Ruslan R Salakhutdinov. 2006 · 2006

Earlier work this paper cites.

Frustratingly Easy Domain Adaptation

Hal Daume III. 2007 · 2007

Earlier work this paper cites.

Hierarchical Bayesian Domain Adaptation

Jenny Rose Finkel and Christopher D. Manning. 2009 · 2009

Earlier work this paper cites.

WIT 3 : Web Inventory of Transcribed and Translated Talks

Mauro Cettolo, Christian Girardi, and Marcello Federico. 2012 · 2012

Earlier work this paper cites.

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach

Grégoire Mesnil, Yann Dauphin, Xavier Glorot, Salah Rifai, Yoshua Bengio, Ian J Goodfellow, Erick Lavoie, Xavier Muller, Guillaume Desjardins, David Warde-Farley, et al. 2012 · 2012

Cited alongside, same era.

Sequence to Sequence Learning with Neural Networks

Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014

Cited alongside, same era.

How transferable are features in deep neural networks?

Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014 · 2014

Cited alongside, same era.

Neural Machine Translation by Jointly Learning to Align and Translate

Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015

Cited alongside, same era.

Adam: A Method for Stochastic Optimization

Diederik P. Kingma and Jimmy Ba. 2015 · 2015

Cited alongside, same era.

Stanford Neural Machine Translation Systems for Spoken Language Domains

Minh-Thang Luong and Christopher D. Manning. 2015 · 2015

Findings of the 2016 Conference on Machine Translation (WMT16)

Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurelie Neveol, Mariana Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, and Marcos Zampieri. 2016 · 2016

Later among the works it cites.

Report on the 13th IWSLT Evaluation Campaign

Mauro Cettolo, Jan Niehues, Sebastian Stüker, Luisa Bentivogli, and Marcello Federico. 2016 · 2016

Later among the works it cites.

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

Yarin Gal and Zoubin Ghahramani. 2016 · 2016

Later among the works it cites.

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

Chenhui Chu, Raj Dabre, and Sadao Kurohashi. 2017 · 2017

Closest in time.

Overcoming catastrophic forgetting in neural networks

James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, and Raia Hadsell. 2017 · 2017