| Tensorflow: A system for large-scale machine learning M Abadi, P Barham, J Chen, Z Chen, A Davis, J Dean, M Devin, ... 12th {USENIX} symposium on operating systems design and implementation …, 2016 | 18239* | 2016 |
| Attention is all you need A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... arXiv preprint arXiv:1706.03762, 2017 | 18120 | 2017 |
| TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 8433 | 2015 |
| Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 3819 | 2016 |
| Grammar as a foreign language O Vinyals, L Kaiser, T Koo, S Petrov, I Sutskever, G Hinton arXiv preprint arXiv:1412.7449, 2014 | 867 | 2014 |
| Multi-task sequence to sequence learning MT Luong, QV Le, I Sutskever, O Vinyals, L Kaiser arXiv preprint arXiv:1511.06114, 2015 | 618 | 2015 |
| Regularizing neural networks by penalizing confident output distributions G Pereyra, G Tucker, J Chorowski, Ł Kaiser, G Hinton arXiv preprint arXiv:1701.06548, 2017 | 487 | 2017 |
| Advances in neural information processing systems A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ... Neural Information Processing Systems Foundation, 5998-6008, 2017 | 369 | 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 | 337 | 2018 |
| Adding gradient noise improves learning for very deep networks A Neelakantan, L Vilnis, QV Le, I Sutskever, L Kaiser, K Kurach, J Martens arXiv preprint arXiv:1511.06807, 2015 | 321 | 2015 |
| TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 303 | 2015 |
| Generating wikipedia by summarizing long sequences PJ Liu, M Saleh, E Pot, B Goodrich, R Sepassi, L Kaiser, N Shazeer arXiv preprint arXiv:1801.10198, 2018 | 300 | 2018 |
| Image transformer N Parmar, A Vaswani, J Uszkoreit, L Kaiser, N Shazeer, A Ku, D Tran International Conference on Machine Learning, 4055-4064, 2018 | 282 | 2018 |
| Universal transformers M Dehghani, S Gouws, O Vinyals, J Uszkoreit, Ł Kaiser arXiv preprint arXiv:1807.03819, 2018 | 258 | 2018 |
| Sentence compression by deletion with lstms K Filippova, E Alfonseca, CA Colmenares, Ł Kaiser, O Vinyals Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 254 | 2015 |
| Neural gpus learn algorithms Ł Kaiser, I Sutskever arXiv preprint arXiv:1511.08228, 2015 | 253 | 2015 |
| One model to learn them all L Kaiser, AN Gomez, N Shazeer, A Vaswani, N Parmar, L Jones, ... arXiv preprint arXiv:1706.05137, 2017 | 230 | 2017 |
| Learning to remember rare events Ł Kaiser, O Nachum, A Roy, S Bengio arXiv preprint arXiv:1703.03129, 2017 | 222 | 2017 |
| Model-based reinforcement learning for atari L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ... arXiv preprint arXiv:1903.00374, 2019 | 216 | 2019 |
| Reformer: The efficient transformer N Kitaev, Ł Kaiser, A Levskaya arXiv preprint arXiv:2001.04451, 2020 | 207 | 2020 |
Aidan GomezDepartment of Computer Science, University of OxfordVerified email at cohere.ai
