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Misha Denil
Misha Denil
DeepMind
Zweryfikowany adres z google.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
23472016
Predicting parameters in deep learning
M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas
Advances in neural information processing systems 26, 2013
16302013
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
9822017
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
3822015
Noisy activation functions
C Gulcehre, M Moczulski, M Denil, Y Bengio
International conference on machine learning, 3059-3068, 2016
3542016
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
3492015
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
341*2017
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
3272014
Learned optimizers that scale and generalize
O Wichrowska, N Maheswaranathan, MW Hoffman, SG Colmenarejo, ...
International conference on machine learning, 3751-3760, 2017
3152017
Hyperbolic attention networks
C Gulcehre, M Denil, M Malinowski, A Razavi, R Pascanu, KM Hermann, ...
arXiv preprint arXiv:1805.09786, 2018
2752018
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
2672012
Extraction of salient sentences from labelled documents
M Denil, A Demiraj, N De Freitas
arXiv preprint arXiv:1412.6815, 2014
249*2014
Overlap versus imbalance
M Denil, T Trappenberg
Advances in Artificial Intelligence: 23rd Canadian Conference on Artificial …, 2010
1972010
Large-scale visual speech recognition
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...
arXiv preprint arXiv:1807.05162, 2018
1942018
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
1412019
Acdc: A structured efficient linear layer
M Moczulski, M Denil, J Appleyard, N de Freitas
arXiv preprint arXiv:1511.05946, 2015
1252015
Consistency of online random forests
M Denil, D Matheson, N de Freitas
International Conference on Machine Learning, 2013
1182013
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
942019
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
Robocat: A self-improving generalist agent for robotic manipulation
K Bousmalis, G Vezzani, D Rao, CM Devin, AX Lee, MB Villalonga, ...
Transactions on Machine Learning Research, 2023
72*2023
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