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Interlocking Backpropagation: Improving depthwise model-parallelism

Oct 08, 2020
Aidan N. Gomez, Oscar Key, Stephen Gou, Nick Frosst, Jeff Dean, Yarin Gal

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SliceOut: Training Transformers and CNNs faster while using less memory

Jul 21, 2020
Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal

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Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers

Jun 08, 2020
Tim Z. Xiao, Aidan N. Gomez, Yarin Gal

* 19 pages, 9 figures 

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A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

Dec 22, 2019
Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal

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Learning Sparse Networks Using Targeted Dropout

Jun 05, 2019
Aidan N. Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton

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Tensor2Tensor for Neural Machine Translation

Mar 16, 2018
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit

* arXiv admin note: text overlap with arXiv:1706.03762 

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Unsupervised Cipher Cracking Using Discrete GANs

Jan 15, 2018
Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser

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Attention Is All You Need

Dec 06, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin

* 15 pages, 5 figures 

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The Reversible Residual Network: Backpropagation Without Storing Activations

Jul 14, 2017
Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse

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One Model To Learn Them All

Jun 16, 2017
Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit

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Depthwise Separable Convolutions for Neural Machine Translation

Jun 16, 2017
Lukasz Kaiser, Aidan N. Gomez, Francois Chollet

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