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Aidan Gomez
Aidan Gomez
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Cited by
Year
Attention is all you need
A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ...
Advances in neural information processing systems 30, 2017
1124292017
Tensor2tensor for neural machine translation
A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ...
arXiv preprint arXiv:1803.07416, 2018
5992018
The reversible residual network: Backpropagation without storing activations
AN Gomez, M Ren, R Urtasun, RB Grosse
Advances in neural information processing systems 30, 2017
5272017
Attention is all you need. 2017. doi: 10.48550
A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ...
arXiv preprint ARXIV.1706.03762, 0
423*
One model to learn them all
L Kaiser, AN Gomez, N Shazeer, A Vaswani, N Parmar, L Jones, ...
arXiv preprint arXiv:1706.05137, 2017
3782017
Disease variant prediction with deep generative models of evolutionary data
J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock, Y Gal, DS Marks
Nature 599 (7883), 91-95, 2021
3552021
Depthwise Separable Convolutions for Neural Machine Translation
L Kaiser, AN Gomez, F Chollet
International Conference on Learning Representations, 2018
3362018
A systematic comparison of Bayesian deep learning robustness in diabetic retinopathy tasks
A Filos, S Farquhar, AN Gomez, TGJ Rudner, Z Kenton, L Smith, ...
arXiv preprint arXiv:1912.10481, 2019
123*2019
Learning Sparse Networks Using Targeted Dropout
AN Gomez, I Zhang, S Rao Kamalakara, D Madaan, K Swersky, Y Gal, ...
arXiv preprint arXiv:1905.13678, 2019
1132019
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
P Notin, M Dias, J Frazer, JM Hurtado, AN Gomez, D Marks, Y Gal
International Conference on Machine Learning, 16990-17017, 2022
1022022
The difficulty of training sparse neural networks
U Evci, F Pedregosa, A Gomez, E Elsen
arXiv preprint arXiv:1906.10732, 2019
862019
Unsupervised cipher cracking using discrete GANs
AN Gomez, S Huang, I Zhang, BM Li, M Osama, L Kaiser
arXiv preprint arXiv:1801.04883, 2018
812018
Self-attention between datapoints: Going beyond individual input-output pairs in deep learning
J Kossen, N Band, C Lyle, AN Gomez, T Rainforth, Y Gal
Advances in Neural Information Processing Systems 34, 28742-28756, 2021
762021
Prioritized training on points that are learnable, worth learning, and not yet learnt
S Mindermann, JM Brauner, MT Razzak, M Sharma, A Kirsch, W Xu, ...
International Conference on Machine Learning, 15630-15649, 2022
632022
Wat zei je? detecting out-of-distribution translations with variational transformers
TZ Xiao, AN Gomez, Y Gal
arXiv preprint arXiv:2006.08344, 2020
30*2020
Attention-based sequence transduction neural networks
NM Shazeer, AN Gomez, LM Kaiser, JD Uszkoreit, LO Jones, NJ Parmar, ...
US Patent 10,452,978, 2019
292019
Interlocking Backpropagation: Improving depthwise model-parallelism
AN Gomez, O Key, K Perlin, S Gou, N Frosst, J Dean, Y Gal
The Journal of Machine Learning Research 23 (1), 7714-7741, 2022
122022
Depthwise separable convolutions for neural machine translation
AN Gomez, LM Kaiser, F Chollet
US Patent 10,853,590, 2020
122020
Robustness to pruning predicts generalization in deep neural networks
L Kuhn, C Lyle, AN Gomez, J Rothfuss, Y Gal
arXiv preprint arXiv:2103.06002, 2021
112021
Multi-task multi-modal machine learning system
NM Shazeer, AN Gomez, LM Kaiser, JD Uszkoreit, LO Jones, NJ Parmar, ...
US Patent 10,789,427, 2020
102020
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