Следене
Aidan Gomez
Aidan Gomez
Cohere
Потвърден имейл адрес: cohere.ai - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
1279482017
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
6202018
The reversible residual network: Backpropagation without storing activations
AN Gomez, M Ren, R Urtasun, RB Grosse
Advances in neural information processing systems 30, 2017
5562017
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
4302021
One model to learn them all
L Kaiser, AN Gomez, N Shazeer, A Vaswani, N Parmar, L Jones, ...
arXiv preprint arXiv:1706.05137, 2017
3872017
Depthwise Separable Convolutions for Neural Machine Translation
L Kaiser, AN Gomez, F Chollet
International Conference on Learning Representations, 2018
3542018
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
134*2019
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
1302022
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
1182019
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
942021
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
912022
The difficulty of training sparse neural networks
U Evci, F Pedregosa, A Gomez, E Elsen
arXiv preprint arXiv:1906.10732, 2019
912019
Unsupervised cipher cracking using discrete GANs
AN Gomez, S Huang, I Zhang, BM Li, M Osama, L Kaiser
arXiv preprint arXiv:1801.04883, 2018
802018
Attention is all you need (arXiv: 1706.03762). arXiv
A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ...
522017
Wat zei je? detecting out-of-distribution translations with variational transformers
TZ Xiao, AN Gomez, Y Gal
arXiv preprint arXiv:2006.08344, 2020
35*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
332019
Targeted dropout
AN Gomez, I Zhang, K Swersky, Y Gal, GE Hinton
332018
Interlocking backpropagation: Improving depthwise model-parallelism
AN Gomez, O Key, K Perlin, S Gou, N Frosst, J Dean, Y Gal
Journal of Machine Learning Research 23 (171), 1-28, 2022
162022
Depthwise separable convolutions for neural machine translation
AN Gomez, LM Kaiser, F Chollet
US Patent 10,853,590, 2020
132020
Exploring low rank training of deep neural networks
SR Kamalakara, A Locatelli, B Venkitesh, J Ba, Y Gal, AN Gomez
arXiv preprint arXiv:2209.13569, 2022
112022
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20