Misha Denil

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 41

Top Topics

Probabilistic Graphical Models

Visual Speech Recognition

Reinforcement Learning

Activation Function

Top Venues

Publications

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil
π2vec: Policy Representation with Successor Features. ICLR (2024)
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauzá Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation. Trans. Mach. Learn. Res. 2024 (2024)
Misha Denil
Rapid Object Annotation. CoRR (2024)
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Devin, Alex X. Lee, Maria Bauzá, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo F. Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott E. Reed, Sergio Gómez Colmenarejo, Jon Scholz, Abbas Abdolmaleki, Oliver Groth, Jean-Baptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation. CoRR (2023)
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Tom Le Paine, Yutian Chen, Misha Denil
π2vec: Policy Representations with Successor Features. CoRR (2023)
Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
Vision-Language Models as Success Detectors. CoLLAs (2023)
Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
Vision-Language Models as Success Detectors. CoRR (2023)
Brendan Shillingford, Yannis M. Assael, Misha Denil
Interactive decoding of words from visual speech recognition models. CoRR (2021)
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
Active Offline Policy Selection. NeurIPS (2021)
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
Active Offline Policy Selection. CoRR (2021)
Çaglar Gülçehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. ICLR (2020)
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
Scaling data-driven robotics with reward sketching and batch reinforcement learning. Robotics: Science and Systems (2020)
Yi Yang, Brendan Shillingford, Yannis M. Assael, Miaosen Wang, Wendi Liu, Yutian Chen, Yu Zhang, Eren Sezener, Luis C. Cobo, Misha Denil, Yusuf Aytar, Nando de Freitas
Large-scale multilingual audio visual dubbing. CoRR (2020)
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
Offline Learning from Demonstrations and Unlabeled Experience. CoRR (2020)
Danfei Xu, Misha Denil
Positive-Unlabeled Reward Learning. CoRL (2020)
Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
Task-Relevant Adversarial Imitation Learning. CoRL (2020)
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
A Framework for Data-Driven Robotics. CoRR (2019)
Brendan Shillingford, Yannis M. Assael, Matthew W. Hoffman, Thomas Paine, Cían Hughes, Utsav Prabhu, Hank Liao, Hasim Sak, Kanishka Rao, Lorrayne Bennett, Marie Mulville, Misha Denil, Ben Coppin, Ben Laurie, Andrew W. Senior, Nando de Freitas
Large-Scale Visual Speech Recognition. INTERSPEECH (2019)
Tom Le Paine, Çaglar Gülçehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. CoRR (2019)
Danfei Xu, Misha Denil
Positive-Unlabeled Reward Learning. CoRR (2019)
Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
Task-Relevant Adversarial Imitation Learning. CoRR (2019)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. ICLR (Poster) (2019)
Çaglar Gülçehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas
Hyperbolic Attention Networks. CoRR (2018)
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
Learning Awareness Models. ICLR (Poster) (2018)
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
Learning Awareness Models. CoRR (2018)
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein
Learned Optimizers that Scale and Generalize. ICML (2017)
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew Botvinick, Nando de Freitas
Learning to Learn without Gradient Descent by Gradient Descent. ICML (2017)
Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. CoRL (2017)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
Learning to Perform Physics Experiments via Deep Reinforcement Learning. ICLR (Poster) (2017)
Misha Denil, Sergio Gomez Colmenarejo, Serkan Cabi, David Saxton, Nando de Freitas
Programmable Agents. CoRR (2017)
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
Learning to Navigate in Complex Environments. ICLR (Poster) (2017)
Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. CoRR (2017)
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein
Learned Optimizers that Scale and Generalize. CoRR (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
Learning to Navigate in Complex Environments. CoRR (2016)
Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas
Learning to learn by gradient descent by gradient descent. CoRR (2016)
Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio
Noisy Activation Functions. ICML (2016)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
Learning to Perform Physics Experiments via Deep Reinforcement Learning. CoRR (2016)
Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio
Noisy Activation Functions. CoRR (2016)
Marcin Moczulski, Misha Denil, Jeremy Appleyard, Nando de Freitas
ACDC: A Structured Efficient Linear Layer. ICLR (Poster) (2016)
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Nando de Freitas
Learning to Learn for Global Optimization of Black Box Functions. CoRR (2016)
Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas
Learning to learn by gradient descent by gradient descent. NIPS (2016)
Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
Deep Fried Convnets. ICCV (2015)
Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth
From Group to Individual Labels Using Deep Features. KDD (2015)
Miroslav Bogdanovic, Dejan Markovikj, Misha Denil, Nando de Freitas
Deep Apprenticeship Learning for Playing Video Games. AAAI Workshop: Learning for General Competency in Video Games (2015)
Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
Deep Fried Convnets. CoRR (2014)
Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network. CoRR (2014)
Misha Denil, Alban Demiraj, Nando de Freitas
Extraction of Salient Sentences from Labelled Documents. CoRR (2014)
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas
Linear and Parallel Learning of Markov Random Fields. ICML (2014)
Misha Denil, David Matheson, Nando de Freitas
Narrowing the Gap: Random Forests In Theory and In Practice. ICML (2014)
Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas
Deep Multi-Instance Transfer Learning. CoRR (2014)
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas
Distributed Parameter Estimation in Probabilistic Graphical Models. NIPS (2014)
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
Predicting Parameters in Deep Learning. CoRR (2013)
Misha Denil, David Matheson, Nando de Freitas
Consistency of Online Random Forests. ICML (3) (2013)
Misha Denil, David Matheson, Nando de Freitas
Narrowing the Gap: Random Forests In Theory and In Practice. CoRR (2013)
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
Predicting Parameters in Deep Learning. NIPS (2013)
Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas
Learning Where to Attend with Deep Architectures for Image Tracking. Neural Comput. 24 (8) (2012)
Misha Denil, Nando de Freitas
Recklessly Approximate Sparse Coding CoRR (2012)
Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas
Learning where to Attend with Deep Architectures for Image Tracking CoRR (2011)
Misha Denil, Thomas P. Trappenberg
A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier CoRR (2011)
Misha Denil, Thomas P. Trappenberg
Overlap versus Imbalance. Canadian Conference on AI (2010)