Misha Denil
Misha Denil
DeepMind
Dirección de correo verificada de google.com - Página principal
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Citado por
Citado por
Año
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
9912016
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems, 2148-2156, 2013
8832013
Learning to navigate in complex environments
P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ...
International Conference on Learning Representations, 2017
4952017
Deep fried convnets
Z Yang, M Moczulski, M Denil, N de Freitas, A Smola, L Song, Z Wang
Proceedings of the IEEE International Conference on Computer Vision, 1476-1483, 2015
2462015
From group to individual labels using deep features
D Kotzias, M Denil, N De Freitas, P Smyth
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
2122015
Narrowing the gap: Random forests in theory and in practice
M Denil, D Matheson, N De Freitas
International conference on machine learning, 665-673, 2014
1802014
Learning where to attend with deep architectures for image tracking
M Denil, L Bazzani, H Larochelle, N de Freitas
Neural computation 24 (8), 2151-2184, 2012
1782012
Noisy activation functions
C Gulcehre, M Moczulski, M Denil, Y Bengio
International conference on machine learning, 3059-3068, 2016
1692016
Extraction of salient sentences from labelled documents
M Denil, A Demiraj, N De Freitas
arXiv preprint arXiv:1412.6815, 2014
139*2014
Learning to Learn without Gradient Descent by Gradient Descent
NF Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil ...
International Conference on Machine Learning, 2017
137*2017
Learned optimizers that scale and generalize
O Wichrowska, N Maheswaranathan, MW Hoffman, SG Colmenarejo, ...
arXiv preprint arXiv:1703.04813, 2017
1042017
Overlap versus imbalance
M Denil, T Trappenberg
Canadian conference on artificial intelligence, 220-231, 2010
1022010
Consistency of online random forests
M Denil, D Matheson, N de Freitas
International Conference on Machine Learning, 2013
822013
Acdc: A structured efficient linear layer
M Moczulski, M Denil, J Appleyard, N de Freitas
arXiv preprint arXiv:1511.05946, 2015
782015
Learning to perform physics experiments via deep reinforcement learning
M Denil, P Agrawal, TD Kulkarni, T Erez, P Battaglia, N De Freitas
arXiv preprint arXiv:1611.01843, 2016
572016
Hyperbolic attention networks
C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ...
arXiv preprint arXiv:1805.09786, 2018
552018
Programmable agents
M Denil, SG Colmenarejo, S Cabi, D Saxton, N de Freitas
arXiv preprint arXiv:1706.06383, 2017
402017
Toward the implementation of a quantum RBM
M Denil, N De Freitas
402011
Learning awareness models
B Amos, L Dinh, S Cabi, T Rothörl, SG Colmenarejo, A Muldal, T Erez, ...
arXiv preprint arXiv:1804.06318, 2018
252018
Linear and parallel learning of markov random fields
Y Mizrahi, M Denil, N De Freitas
International Conference on Machine Learning, 199-207, 2014
242014
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Artículos 1–20