Följ
Misha Denil
Misha Denil
DeepMind
Verifierad e-postadress på google.com - Startsida
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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
24962016
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems 26, 2013
16832013
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
10442017
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
3912015
Noisy activation functions
C Gulcehre, M Moczulski, M Denil, Y Bengio
International conference on machine learning, 3059-3068, 2016
3672016
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
3602017
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
3602015
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
3372014
Learned optimizers that scale and generalize
O Wichrowska, N Maheswaranathan, MW Hoffman, SG Colmenarejo, ...
International conference on machine learning, 3751-3760, 2017
3342017
Hyperbolic attention networks
C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ...
arXiv preprint arXiv:1805.09786, 2018
2902018
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
2732012
Extraction of salient sentences from labelled documents
M Denil, A Demiraj, N De Freitas
arXiv preprint arXiv:1412.6815, 2014
252*2014
Large-scale visual speech recognition
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...
arXiv preprint arXiv:1807.05162, 2018
2122018
Overlap versus imbalance
M Denil, T Trappenberg
Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial …, 2010
2032010
Scaling data-driven robotics with reward sketching and batch reinforcement learning
S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ...
arXiv preprint arXiv:1909.12200, 2019
1562019
Acdc: A structured efficient linear layer
M Moczulski, M Denil, J Appleyard, N de Freitas
arXiv preprint arXiv:1511.05946, 2015
1332015
Consistency of online random forests
M Denil, D Matheson, N de Freitas
International Conference on Machine Learning, 2013
1172013
Robocat: A self-improving generalist agent for robotic manipulation
K Bousmalis, G Vezzani, D Rao, C Devin, AX Lee, M Bauzá, T Davchev, ...
arXiv preprint arXiv:2306.11706, 2023
114*2023
Making efficient use of demonstrations to solve hard exploration problems
TL Paine, C Gulcehre, B Shahriari, M Denil, M Hoffman, H Soyer, ...
arXiv preprint arXiv:1909.01387, 2019
1012019
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
902016
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Artiklar 1–20