Sequence-Level Mixed Sample Data Augmentation

Connectionism and Cognitive Architecture - a Critical Analysis

J. A. Fodor and Z. W. Pylyshyn. 1988 · 1988

Earlier work this paper cites.

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Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013

Earlier work this paper cites.

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Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard Zemel, and Yoshua Bengio. 2015 · 2015

Earlier work this paper cites.

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Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein. 2016 · 2016

Earlier work this paper cites.

A fast unified model for parsing and sentence understanding

Samuel R. Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D. Manning, and Christopher Potts. 2016 · 2016

Earlier work this paper cites.

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Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, and Noah A. Smith. 2016 · 2016

Earlier work this paper cites.

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Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016

Earlier work this paper cites.

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Original

Terrance DeVries and Graham W Taylor. 2017 · 2017

Earlier work this paper cites.

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Cited alongside, same era.

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Cited alongside, same era.

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Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz. 2018 · 2018

Later among the works it cites.

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Later among the works it cites.

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Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019

Later among the works it cites.

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Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, and Yoshua Bengio. 2019 · 2019

Later among the works it cites.

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Later among the works it cites.