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Oriol Vinyals
Oriol Vinyals
Research Scientist at Google DeepMind
Email confirmado em google.com - Página inicial
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Ano
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
Software available from tensorflow. org, 0
44007*
Sequence to sequence learning with neural networks
I Sutskever, O Vinyals, QV Le
Advances in neural information processing systems 27, 2014
213462014
Distilling the knowledge in a neural network
G Hinton, O Vinyals, J Dean
arXiv preprint arXiv:1503.02531, 2015
128602015
Highly accurate protein structure prediction with AlphaFold
J Jumper, R Evans, A Pritzel, T Green, M Figurnov, O Ronneberger, ...
Nature 596 (7873), 583-589, 2021
81702021
Matching networks for one shot learning
O Vinyals, C Blundell, T Lillicrap, D Wierstra
Advances in neural information processing systems 29, 2016
7168*2016
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
66852016
Show and tell: A neural image caption generator
O Vinyals, A Toshev, S Bengio, D Erhan
Proceedings of the IEEE conference on computer vision and pattern …, 2015
62332015
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
6112*2016
Decaf: A deep convolutional activation feature for generic visual recognition
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
International conference on machine learning, 647-655, 2014
54012014
Neural message passing for quantum chemistry
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
International conference on machine learning, 1263-1272, 2017
49632017
Understanding deep learning (still) requires rethinking generalization
C Zhang, S Bengio, M Hardt, B Recht, O Vinyals
Communications of the ACM 64 (3), 107-115, 2021
48992021
Representation learning with contrastive predictive coding
A Oord, Y Li, O Vinyals
arXiv preprint arXiv:1807.03748, 2018
42622018
Recurrent neural network regularization
W Zaremba, I Sutskever, O Vinyals
arXiv preprint arXiv:1409.2329, 2014
29672014
Pointer networks
O Vinyals, M Fortunato, N Jaitly
Advances in neural information processing systems 28, 2015
27262015
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
26592019
Beyond short snippets: Deep networks for video classification
J Yue-Hei Ng, M Hausknecht, S Vijayanarasimhan, O Vinyals, R Monga, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
26112015
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition
W Chan, N Jaitly, Q Le, O Vinyals
2016 IEEE international conference on acoustics, speech and signal …, 2016
2599*2016
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
24512018
Generating sentences from a continuous space
SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio
arXiv preprint arXiv:1511.06349, 2015
22182015
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
20902016
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