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Neural Machine Translation (NMT) is resource intensive.
Making asynchronous stochastic gradient descent work for transformers
Alham Fikri Aji and Kenneth Heafield. 2019 · 1906
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Fixed-point feedforward deep neural network design using weights+ 1, 0, and- 1
Kyuyeon Hwang and Wonyong Sung. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2014 · 2014
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1-bit stochastic gradient descent and its application to data-parallel distributed training of speech dnns
Frank Seide, Hao Fu, Jasha Droppo, Gang Li, and Dong Yu. 2014 · 2014
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Fixed point optimization of deep convolutional neural networks for object recognition
Sajid Anwar, Kyuyeon Hwang, and Wonyong Sung. 2015 · 2015
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Song Han, Huizi Mao, and William J Dally. 2015 · 2015
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Binarized neural networks
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2016 · 2016
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Fixed point quantization of deep convolutional networks
Darryl Lin, Sachin Talathi, and Sreekanth Annapureddy. 2016 · 2016
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Convolutional neural networks using logarithmic data representation
Daisuke Miyashita, Edward H Lee, and Boris Murmann. 2016 · 2016
Cited alongside, same era.
Compression of neural machine translation models via pruning
Abigail See, Minh-Thang Luong, and Christopher D Manning. 2016 · 2016
Cited alongside, same era.
Sparse communication for distributed gradient descent
Alham Fikri Aji and Kenneth Heafield. 2017 · 2017
Cited alongside, same era.
The University of Edinburgh’s neural mt systems for WMT17
Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, and Philip Williams. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Findings of the 2018 conference on machine translation (wmt18)
Ondřej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, and Christof Monz. 2018 · 2018
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The best of both worlds: Combining recent advances in neural machine translation
Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George Foster, Llion Jones, Niki Parmar, Mike Schuster, Zhifeng Chen, et al. 2018 · 2018
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Quantization and training of neural networks for efficient integer-arithmetic-only inference
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Antonio Valerio Miceli Barone, Jindřich Helcl, Rico Sennrich, Barry Haddow, and Alexandra Birch. 2017 · 2017
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Quantized neural networks: Training neural networks with low precision weights and activations
Itay Hubara, Matthieu Courbariaux, Daniel Soudry, Ran El-Yaniv, and Yoshua Bengio. 2017 · 2017
Cited alongside, same era.
Deep gradient compression: Reducing the communication bandwidth for distributed training
Yujun Lin, Song Han, Huizi Mao, Yu Wang, and William J Dally. 2017 · 2017
Cited alongside, same era.
Improving neural machine translation models with monolingual data
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016a
Cited in the paper.
Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016b
Cited in the paper.
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, and Dmitry Kalenichenko. 2018 · 2018
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Marian: Cost-effective high-quality neural machine translation in c++
Marcin Junczys-Dowmunt, Kenneth Heafield, Hieu Hoang, Roman Grundkiewicz, and Anthony Aue. 2018 · 2018
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A call for clarity in reporting bleu scores
Matt Post. 2018 · 2018
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Pieces of eight: 8-bit neural machine translation
Jerry Quinn and Miguel Ballesteros. 2018 · 2018
Later among the works it cites.