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Aidan Gomez
Aidan Gomez
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Title
Cited by
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
778252017
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
5482018
The reversible residual network: Backpropagation without storing activations
AN Gomez, M Ren, R Urtasun, RB Grosse
Advances in neural information processing systems 30, 2017
4242017
One model to learn them all
L Kaiser, AN Gomez, N Shazeer, A Vaswani, N Parmar, L Jones, ...
arXiv preprint arXiv:1706.05137, 2017
3452017
Depthwise Separable Convolutions for Neural Machine Translation
L Kaiser, AN Gomez, F Chollet
International Conference on Learning Representations, 2018
2912018
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
1812021
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
122*2019
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
100*2019
The difficulty of training sparse neural networks
U Evci, F Pedregosa, A Gomez, E Elsen
arXiv preprint arXiv:1906.10732, 2019
712019
Unsupervised cipher cracking using discrete gans
AN Gomez, S Huang, I Zhang, BM Li, M Osama, L Kaiser
arXiv preprint arXiv:1801.04883, 2018
692018
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
402021
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
302022
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
232022
Wat zei je? detecting out-of-distribution translations with variational transformers
TZ Xiao, AN Gomez, Y Gal
arXiv preprint arXiv:2006.08344, 2020
23*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
172019
Depthwise separable convolutions for neural machine translation
AN Gomez, LM Kaiser, F Chollet
US Patent 10,853,590, 2020
62020
Predicting twitter engagement with deep language models
M Volkovs, Z Cheng, M Ravaut, H Yang, K Shen, JP Zhou, A Wong, ...
Proceedings of the Recommender Systems Challenge 2020, 38-43, 2020
62020
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
52022
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
52021
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
22020
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