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Large-scale multilingual audio visual dubbing

Nov 06, 2020
Yi Yang, Brendan Shillingford, Yannis Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas

* 26 pages, 8 figures 

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Positive-Unlabeled Reward Learning

Nov 01, 2019
Danfei Xu, Misha Denil


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Task-Relevant Adversarial Imitation Learning

Oct 02, 2019
Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarej, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang


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A Framework for Data-Driven Robotics

Sep 26, 2019
Serkan Cabi, Sergio G贸mez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad 呕o艂na, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang


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Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

Sep 03, 2019
Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team


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Hyperbolic Attention Networks

May 24, 2018
Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas


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Learning Awareness Models

Apr 17, 2018
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Roth枚rl, Sergio G贸mez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil

* Accepted to ICLR 2018 

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Learned Optimizers that Scale and Generalize

Sep 07, 2017
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein

* Final ICML paper after reviewer suggestions 

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Learning to Perform Physics Experiments via Deep Reinforcement Learning

Aug 17, 2017
Misha Denil, Pulkit Agrawal, Tejas D Kulkarni, Tom Erez, Peter Battaglia, Nando de Freitas


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The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

Jul 11, 2017
Serkan Cabi, Sergio G贸mez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas


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Programmable Agents

Jun 20, 2017
Misha Denil, Sergio G贸mez Colmenarejo, Serkan Cabi, David Saxton, Nando de Freitas


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Learning to Learn without Gradient Descent by Gradient Descent

Jun 12, 2017
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando de Freitas

* Accepted by ICML 2017. Previous version "Learning to Learn for Global Optimization of Black Box Functions" was published in the Deep Reinforcement Learning Workshop, NIPS 2016 

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Learning to Navigate in Complex Environments

Jan 13, 2017
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J. Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell

* 11 pages, 5 appendix pages, 11 figures, 3 tables, under review as a conference paper at ICLR 2017 

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Learning to learn by gradient descent by gradient descent

Nov 30, 2016
Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas


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Noisy Activation Functions

Apr 03, 2016
Caglar Gulcehre, Marcin Moczulski, Misha Denil, Yoshua Bengio


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ACDC: A Structured Efficient Linear Layer

Mar 19, 2016
Marcin Moczulski, Misha Denil, Jeremy Appleyard, Nando de Freitas


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Deep Fried Convnets

Jul 17, 2015
Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu Wang

* svd experiments included 

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Extraction of Salient Sentences from Labelled Documents

Feb 28, 2015
Misha Denil, Alban Demiraj, Nando de Freitas

* arXiv admin note: substantial text overlap with arXiv:1406.3830 

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Deep Multi-Instance Transfer Learning

Dec 10, 2014
Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas


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Predicting Parameters in Deep Learning

Oct 27, 2014
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas


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Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network

Jun 15, 2014
Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas


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Distributed Parameter Estimation in Probabilistic Graphical Models

Jun 11, 2014
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas


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Linear and Parallel Learning of Markov Random Fields

Feb 05, 2014
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas


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Narrowing the Gap: Random Forests In Theory and In Practice

Oct 04, 2013
Misha Denil, David Matheson, Nando de Freitas

* Under review by the International Conference on Machine Learning (ICML) 2014 

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Consistency of Online Random Forests

May 08, 2013
Misha Denil, David Matheson, Nando de Freitas

* To appear in Proceedings of the 30th International Conference on Machine Learning, 2013 

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Recklessly Approximate Sparse Coding

Jan 06, 2013
Misha Denil, Nando de Freitas


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Learning where to Attend with Deep Architectures for Image Tracking

Sep 16, 2011
Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas


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A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier

Sep 16, 2011
Misha Denil, Thomas Trappenberg


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