Brendan Shillingford
Brendan Shillingford
Verified email at cs.ox.ac.uk
Title
Cited by
Cited by
Year
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, 3981-3989, 2016
8852016
Lipnet: End-to-end sentence-level lipreading
YM Assael, B Shillingford, S Whiteson, N De Freitas
arXiv preprint arXiv:1611.01599, 2016
2332016
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
452018
Large-scale visual speech recognition
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...
arXiv preprint arXiv:1807.05162, 2018
402018
Cortical microcircuits as gated-recurrent neural networks
R Costa, IA Assael, B Shillingford, N de Freitas, TI Vogels
Advances in neural information processing systems, 272-283, 2017
392017
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
62019
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
32019
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
OM Camburu, B Shillingford, P Minervini, T Lukasiewicz, P Blunsom
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
22020
Recovering missing characters in old Hawaiian writing
B Shillingford, ŌP Jones
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
22018
“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
12013
Cross-modal sequence distillation
B Shillingford, IA Assael, JFG de Freitas
US Patent App. 16/687,558, 2020
2020
Sample-efficient adaptive text-to-speech
Y Chen, SE Reed, AGA van den Oord, O Vinyals, H Zen, IA Assael, ...
US Patent App. 16/666,043, 2020
2020
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