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Prioritized training on points that are learnable, worth learning, and not yet learned
{Sören Mindermann, Muhammed Razzak, Winnie Xu}, Andreas Kirsch, Mrinank Sharma, Adrien
Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Brauner, and Yarin Gal
Published at ICML 2022 [pdf]
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Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep
Learning
{Jannik Kossen, Neil Band}, Clare Lyle, Aidan N. Gomez, Tom Rainforth, and Yarin Gal
Published at NeurIPS 2021 [pdf]
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Interlocking Backpropagation: Improving depthwise model-parallelism
{Aidan N. Gomez, Oscar Key}, Kuba Perlin, Stephen Gou, Nick Frosst, Jeff Dean, and Yarin
Gal
Published in JMLR 2022 [pdf]
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SliceOut: Training Transformers and CNNs faster while using less memory
Pascal Notin, Aidan N. Gomez, Joanna Yoo, and Yarin Gal
[pdf]
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Large-scale clinical interpretation of genetic variants using evolutionary data and deep
learning
{Jonathan Frazer, Pascal Notin, Mafalda Dias}, Aidan N. Gomez, Kelly Brock, Yarin Gal, and
Debora
S. Marks
Published in Nature [Nature, pdf]
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Predicting Twitter Engagement With Deep Language Models
Many Authors
2nd Place at RecSys 2020 [pdf]
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Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers
Tim Z. Xiao, Aidan N. Gomez, and Yarin Gal
Presented at BDL 2019 [pdf]
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Learning Sparse Networks Using Targeted Dropout
A. N. Gomez, I. Zhang, K. Swersky, Y. Gal, and G. E. Hinton
Presented at CDNNIA at NeurIPS 2018 [pdf]
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Unsupervised Cipher Cracking Using Discrete GANs
A. N. Gomez, S. Huang, I. Zhang, B. M. Li, M. Osama, and Ł. Kaiser
Published at ICLR 2018 [pdf]
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The Reversible Residual Network: Backpropagation Without Storing Activations
{A. N. Gomez, M. Ren}, R. Urtasun, and R. B. Grosse
Published at NIPS 2017 [pdf]
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One Model To Learn Them All
Ł. Kaiser, A. N. Gomez, N. Shazeer, A. Vaswani, N. Parmar, J. Uszkoreit, and L.
Jones
[pdf]
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Depthwise Separable Convolutions for Neural Machine Translation
{Ł. Kaiser, A. N. Gomez, and F. Chollet}
Published at ICLR 2018 [pdf]
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Attention Is All You Need
{A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser,
and I. Polosukhin}
Published at NIPS 2017 [pdf]
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Tensor2tensor for neural machine translation
A. Vaswani, S. Bengio, E. Brevdo, F. Chollet, A. N. Gomez, S. Gouws, L. Jones, Ł.
Kaiser, N. Kalchbrenner, N. Parmar, R. Sepassi, N. Shazeer, and J. Uszkoreit
[pdf]