| 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 | 3515* | 2016 |
| Pixel recurrent neural networks A Van Oord, N Kalchbrenner, K Kavukcuoglu International Conference on Machine Learning, 1747-1756, 2016 | 1331 | 2016 |
| Conditional image generation with pixelcnn decoders A Oord, N Kalchbrenner, O Vinyals, L Espeholt, A Graves, K Kavukcuoglu arXiv preprint arXiv:1606.05328, 2016 | 1233 | 2016 |
| Deep content-based music recommendation A Van Den Oord, S Dieleman, B Schrauwen Neural Information Processing Systems Conference (NIPS 2013) 26, 2013 | 1047 | 2013 |
| Representation learning with contrastive predictive coding A Oord, Y Li, O Vinyals arXiv preprint arXiv:1807.03748, 2018 | 731 | 2018 |
| A note on the evaluation of generative models L Theis, A Oord, M Bethge arXiv preprint arXiv:1511.01844, 2015 | 714 | 2015 |
| Neural discrete representation learning A Oord, O Vinyals, K Kavukcuoglu arXiv preprint arXiv:1711.00937, 2017 | 563 | 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 | 430 | 2018 |
| Neural machine translation in linear time N Kalchbrenner, L Espeholt, K Simonyan, A Oord, A Graves, ... arXiv preprint arXiv:1610.10099, 2016 | 378 | 2016 |
| Efficient neural audio synthesis N Kalchbrenner, E Elsen, K Simonyan, S Noury, N Casagrande, ... International Conference on Machine Learning, 2410-2419, 2018 | 324 | 2018 |
| Video pixel networks N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ... International Conference on Machine Learning, 1771-1779, 2017 | 278 | 2017 |
| Count-based exploration with neural density models G Ostrovski, MG Bellemare, A Oord, R Munos International conference on machine learning, 2721-2730, 2017 | 271 | 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 | 263 | 2020 |
| Adversarial risk and the dangers of evaluating against weak attacks J Uesato, B O’donoghue, P Kohli, A Oord International Conference on Machine Learning, 5025-5034, 2018 | 240 | 2018 |
| Generating diverse high-fidelity images with vq-vae-2 A Razavi, A Oord, O Vinyals arXiv preprint arXiv:1906.00446, 2019 | 189 | 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), 430-439, 2018 | 181 | 2018 |
| 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 | 124 | 2017 |
| 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 |
| On variational bounds of mutual information B Poole, S Ozair, A Van Den Oord, A Alemi, G Tucker International Conference on Machine Learning, 5171-5180, 2019 | 117 | 2019 |
| The challenge of realistic music generation: modelling raw audio at scale S Dieleman, A Oord, K Simonyan arXiv preprint arXiv:1806.10474, 2018 | 77 | 2018 |
