| WaveNet: A Generative Model for Raw Audio A van den Oord, S Dieleman, H Zen, K Simonyan, O Vinyals, A Graves, ... arXiv preprint arXiv:1609.03499, 2016 | 3452* | 2016 |
| Pixel recurrent neural networks A Oord, N Kalchbrenner, K Kavukcuoglu arXiv preprint arXiv:1601.06759, 2016 | 1315 | 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, 4790-4798, 2016 | 1223 | 2016 |
| Deep content-based music recommendation A Van den Oord, S Dieleman, B Schrauwen Advances in neural information processing systems 26, 2643-2651, 2013 | 1025 | 2013 |
| A note on the evaluation of generative models L Theis, A Oord, M Bethge arXiv preprint arXiv:1511.01844, 2015 | 715 | 2015 |
| Representation learning with contrastive predictive coding A Oord, Y Li, O Vinyals arXiv preprint arXiv:1807.03748, 2018 | 703 | 2018 |
| Neural discrete representation learning A Van Den Oord, O Vinyals Advances in Neural Information Processing Systems, 6306-6315, 2017 | 564 | 2017 |
| 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 | 420 | 2018 |
| Neural machine translation in linear time N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ... arXiv preprint arXiv:1610.10099, 2016 | 370 | 2016 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... arXiv preprint arXiv:1802.08435, 2018 | 315 | 2018 |
| Count-based exploration with neural density models G Ostrovski, MG Bellemare, A Oord, R Munos arXiv preprint arXiv:1703.01310, 2017 | 277 | 2017 |
| Video pixel networks N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ... International Conference on Machine Learning, 1771-1779, 2017 | 275 | 2017 |
| Data-efficient image recognition with contrastive predictive coding OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, ASM Eslami, ... International Conference on Machine Learning, 4182-4192, 2020 | 254 | 2020 |
| Adversarial risk and the dangers of evaluating against weak attacks J Uesato, B O'Donoghue, A Oord, P Kohli arXiv preprint arXiv:1802.05666, 2018 | 236 | 2018 |
| Generating diverse high-fidelity images with vq-vae-2 A Razavi, A van den Oord, O Vinyals Advances in Neural Information Processing Systems, 14866-14876, 2019 | 185 | 2019 |
| Beyond temporal pooling: Recurrence and temporal convolutions for gesture recognition in video L Pigou, A Van Den Oord, S Dieleman, M Van Herreweghe, J Dambre International Journal of Computer Vision 126 (2-4), 430-439, 2018 | 175 | 2018 |
| Unsupervised speech representation learning using wavenet autoencoders J Chorowski, RJ Weiss, S Bengio, A van den Oord IEEE/ACM transactions on audio, speech, and language processing 27 (12 …, 2019 | 121 | 2019 |
| Parallel multiscale autoregressive density estimation S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, D Belov, ... arXiv preprint arXiv:1703.03664, 2017 | 115 | 2017 |
| On variational bounds of mutual information B Poole, S Ozair, A Oord, AA Alemi, G Tucker arXiv preprint arXiv:1905.06922, 2019 | 112 | 2019 |
| The challenge of realistic music generation: modelling raw audio at scale S Dieleman, A van den Oord, K Simonyan Advances in Neural Information Processing Systems 31, 7989-7999, 2018 | 78 | 2018 |
