| Attention is all you need (arXiv: 1706.03762). arXiv A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... | 175553* | 2017 |
| 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 | 678 | 2018 |
| The reversible residual network: Backpropagation without storing activations AN Gomez, M Ren, R Urtasun, RB Grosse Advances in neural information processing systems 30, 2017 | 647 | 2017 |
| 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 | 625 | 2021 |
| Depthwise Separable Convolutions for Neural Machine Translation L Kaiser, AN Gomez, F Chollet International Conference on Learning Representations, 2018 | 410 | 2018 |
| One model to learn them all L Kaiser, AN Gomez, N Shazeer, A Vaswani, N Parmar, L Jones, ... arXiv preprint arXiv:1706.05137, 2017 | 407 | 2017 |
| Attention is all you need, 2023 A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... arXiv preprint arXiv:1706.03762, 2023 | 337* | 2023 |
| Attention is all you need. arXiv. org A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... arXiv preprint arXiv:1706.03762, 2017 | 251* | 2017 |
| Attention is all you need A Waswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, A Gomez, ... NIPS, 2017 | 231 | 2017 |
| Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval P Notin, M Dias, J Frazer, J Marchena-Hurtado, AN Gomez, D Marks, ... International Conference on Machine Learning, 16990-17017, 2022 | 223 | 2022 |
| Attention is all you need. arXiv 2023 A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... arXiv preprint arXiv:1706.03762, 2023 | 200 | 2023 |
| & Polosukhin, I.(2017) A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... Attention is all you need. In: Advances in neural information processing …, 2017 | 193 | 2017 |
| 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 | 161 | 2022 |
| 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 | 155* | 2019 |
| 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 | 151 | 2021 |
| 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 | 129 | 2019 |
| The difficulty of training sparse neural networks U Evci, F Pedregosa, A Gomez, E Elsen arXiv preprint arXiv:1906.10732, 2019 | 114 | 2019 |
| Unsupervised cipher cracking using discrete GANs AN Gomez, S Huang, I Zhang, BM Li, M Osama, L Kaiser arXiv preprint arXiv:1801.04883, 2018 | 84 | 2018 |
| Attention is all you need (Version 7). arXiv A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... arXiv preprint arXiv:1706.03762, 2017 | 83 | 2017 |
| NIPS 2017: 31st conference on neural information processing systems A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... Curran Associates, Inc, 30, 1-11, 2017 | 82 | 2017 |
Noam ShazeerGoogleVerified email at google.com
