| Learning to learn by gradient descent by gradient descent M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ... Advances in neural information processing systems 29, 2016 | 2260 | 2016 |
| Lipnet: End-to-end sentence-level lipreading YM Assael, B Shillingford, S Whiteson, N De Freitas arXiv preprint arXiv:1611.01599, 2016 | 616 | 2016 |
| Large-scale visual speech recognition B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ... arXiv preprint arXiv:1807.05162, 2018 | 191 | 2018 |
| Sample efficient adaptive text-to-speech Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ... arXiv preprint arXiv:1809.10460, 2018 | 166 | 2018 |
| Recurrent neural network transducer for audio-visual speech recognition T Makino, H Liao, Y Assael, B Shillingford, B Garcia, O Braga, O Siohan 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 156 | 2019 |
| Restoring and attributing ancient texts using deep neural networks Y Assael, T Sommerschield, B Shillingford, M Bordbar, J Pavlopoulos, ... Nature 603 (7900), 280-283, 2022 | 136 | 2022 |
| Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations P Blunsom, OM Camburu, T Lukasiewicz, B Shillingford | 87* | 2020 |
| Cortical microcircuits as gated-recurrent neural networks R Costa, IA Assael, B Shillingford, N De Freitas, T Vogels Advances in neural information processing systems 30, 2017 | 65 | 2017 |
| Speech bandwidth extension with wavenet A Gupta, B Shillingford, Y Assael, TC Walters 2019 IEEE workshop on applications of signal processing to audio and …, 2019 | 36 | 2019 |
| Large-scale multilingual audio visual dubbing Y Yang, B Shillingford, Y Assael, M Wang, W Liu, Y Chen, Y Zhang, ... arXiv preprint arXiv:2011.03530, 2020 | 22 | 2020 |
| More than words: In-the-wild visually-driven prosody for text-to-speech M Hassid, MT Ramanovich, B Shillingford, M Wang, Y Jia, T Remez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
| Visual speech recognition by phoneme prediction B Shillingford, IA Assael, JFG de Freitas US Patent 11,386,900, 2022 | 5 | 2022 |
| Recovering missing characters in old Hawaiian writing B Shillingford, ŌP Jones Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 5* | 2018 |
| Bandwidth extension of incoming data using neural networks IA Assael, TC Walters, A Gupta, B Shillingford US Patent App. 17/607,797, 2022 | 4 | 2022 |
| Training video data generation neural networks using video frame embeddings IA Assael, B Shillingford US Patent App. 18/020,856, 2023 | 3 | 2023 |
| Sample-efficient adaptive text-to-speech Y Chen, SE Reed, AGA van den Oord, O Vinyals, H Zen, IA Assael, ... US Patent 10,810,993, 2020 | 3 | 2020 |
| Composing RNNs and FSTs for small data: Recovering missing characters in old Hawaiian text O Parker Jones, B Shillingford arXiv e-prints, arXiv: 2208.10248, 2022 | 2 | 2022 |
| Interactive decoding of words from visual speech recognition models B Shillingford, Y Assael, M Denil arXiv preprint arXiv:2107.00692, 2021 | 2 | 2021 |
| “Dictionary Wars”: An Inverted, Leaderboard-Driven Project for Learning Dictionary Data Structures K Karpierz, J Kitching, B Shillingford, E Patitsas, SA Wolfman Proc. of the Tech. Symp. on CS Ed, 740-740, 2013 | 1 | 2013 |
| Interactive decoding of words from phoneme score distributions IA Assael, B Shillingford, MMR Denil US Patent App. 18/285,345, 2024 | | 2024 |
