| Mastering the game of Go with deep neural networks and tree search D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ... nature 529 (7587), 484-489, 2016 | 18985 | 2016 |
| Wavenet: A generative model for raw audio A Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ... arXiv preprint arXiv:1609.03499, 2016 | 6965 | 2016 |
| A convolutional neural network for modelling sentences N Kalchbrenner, E Grefenstette, P Blunsom arXiv preprint arXiv:1404.2188, 2014 | 4901 | 2014 |
| Pixel recurrent neural networks A Van Den Oord, N Kalchbrenner, K Kavukcuoglu International conference on machine learning, 1747-1756, 2016 | 2753 | 2016 |
| Conditional image generation with pixelcnn decoders A Van den Oord, N Kalchbrenner, L Espeholt, O Vinyals, A Graves Advances in neural information processing systems 29, 2016 | 2725 | 2016 |
| Recurrent continuous translation models N Kalchbrenner, P Blunsom Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 1878 | 2013 |
| Deep learning--based text classification: a comprehensive review S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao ACM computing surveys (CSUR) 54 (3), 1-40, 2021 | 1556 | 2021 |
| Toward causal representation learning B Schölkopf, F Locatello, S Bauer, NR Ke, N Kalchbrenner, A Goyal, ... Proceedings of the IEEE 109 (5), 612-634, 2021 | 1127 | 2021 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... International Conference on Machine Learning, 2410-2419, 2018 | 965 | 2018 |
| Parallel wavenet: Fast high-fidelity speech synthesis A Oord, Y Li, I Babuschkin, K Simonyan, O Vinyals, K Kavukcuoglu, ... International conference on machine learning, 3918-3926, 2018 | 960 | 2018 |
| Neural machine translation in linear time N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ... arXiv preprint arXiv:1610.10099, 2016 | 689 | 2016 |
| 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 | 623 | 2018 |
| Axial attention in multidimensional transformers J Ho, N Kalchbrenner, D Weissenborn, T Salimans arXiv preprint arXiv:1912.12180, 2019 | 522 | 2019 |
| Video pixel networks N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ... International Conference on Machine Learning, 1771-1779, 2017 | 485 | 2017 |
| Grid long short-term memory N Kalchbrenner, I Danihelka, A Graves arXiv preprint arXiv:1507.01526, 2015 | 442 | 2015 |
| The effects of feature‐label‐order and their implications for symbolic learning M Ramscar, D Yarlett, M Dye, K Denny, K Thorpe Cognitive science 34 (6), 909-957, 2010 | 373 | 2010 |
| Metnet: A neural weather model for precipitation forecasting CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ... arXiv preprint arXiv:2003.12140, 2020 | 305 | 2020 |
| Recurrent convolutional neural networks for discourse compositionality N Kalchbrenner, P Blunsom arXiv preprint arXiv:1306.3584, 2013 | 270 | 2013 |
| Parallel multiscale autoregressive density estimation S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, Y Chen, ... International conference on machine learning, 2912-2921, 2017 | 236 | 2017 |
| Associative long short-term memory I Danihelka, G Wayne, B Uria, N Kalchbrenner, A Graves International conference on machine learning, 1986-1994, 2016 | 193 | 2016 |
Aäron van den OordGoogle DeepMind在 google.com 的电子邮件经过验证
