Misha Denil

61 papers A* 11A 1Misc 3Journal 34Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Vision-Language Model Dialog Games for Self-Improvement.
CoRR
Ksenia Konyushkova, Christos Kaplanis, Serkan Cabi, Misha Denil
2024 J jnl
Rapid Object Annotation.
CoRR
Misha Denil
2024 J jnl
RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.
Trans. Mach. Learn. Res.
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
2024 A* conf
π2vec: Policy Representation with Successor Features.
ICLR
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil
2023 J jnl
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation.
CoRR
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, José Enrique Chen, Yusuf Aytar, Dave Barker, Joy Ortiz, Martin A. Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess
2023 — conf
Vision-Language Models as Success Detectors.
CoLLAs
Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
2023 J jnl
Vision-Language Models as Success Detectors.
CoRR
Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi
2023 J jnl
π2vec: Policy Representations with Successor Features.
CoRR
Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Tom Le Paine, Yutian Chen, Misha Denil
2021 A* conf
Active Offline Policy Selection.
NeurIPS
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
2021 J jnl
Active Offline Policy Selection.
CoRR
Ksenia Konyushkova, Yutian Chen, Thomas Paine, Çaglar Gülçehre, Cosmin Paduraru, Daniel J. Mankowitz, Misha Denil, Nando de Freitas
2021 J jnl
Interactive decoding of words from visual speech recognition models.
CoRR
Brendan Shillingford, Yannis M. Assael, Misha Denil
2020 J jnl
Large-scale multilingual audio visual dubbing.
CoRR
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
2020 A* conf
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.
ICLR
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
2020 J jnl
Offline Learning from Demonstrations and Unlabeled Experience.
CoRR
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
2020 Misc conf
Positive-Unlabeled Reward Learning.
CoRL
Danfei Xu, Misha Denil
2020 — conf
Scaling data-driven robotics with reward sketching and batch reinforcement learning.
Robotics: Science and Systems
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
2020 Misc conf
Task-Relevant Adversarial Imitation Learning.
CoRL
Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2019 J jnl
A Framework for Data-Driven Robotics.
CoRR
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
2019 — conf
Hyperbolic Attention Networks.
ICLR (Poster)
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
2019 A conf
Large-Scale Visual Speech Recognition.
INTERSPEECH
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
2019 J jnl
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems.
CoRR
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
2019 J jnl
Positive-Unlabeled Reward Learning.
CoRR
Danfei Xu, Misha Denil
2019 J jnl
Task-Relevant Adversarial Imitation Learning.
CoRR
Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2018 J jnl
Hyperbolic Attention Networks.
CoRR
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
2018 — conf
Learning Awareness Models.
ICLR (Poster)
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
2018 J jnl
Learning Awareness Models.
CoRR
Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
2017 A* conf
Learned Optimizers that Scale and Generalize.
ICML
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein
2017 J jnl
Learned Optimizers that Scale and Generalize.
CoRR
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein
2017 A* conf
Learning to Learn without Gradient Descent by Gradient Descent.
ICML
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas
2017 — conf
Learning to Navigate in Complex Environments.
ICLR (Poster)
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andy Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, Dharshan Kumaran, Raia Hadsell
2017 — conf
Learning to Perform Physics Experiments via Deep Reinforcement Learning.
ICLR (Poster)
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
2017 J jnl
Programmable Agents.
CoRR
Misha Denil, Sergio Gomez Colmenarejo, Serkan Cabi, David Saxton, Nando de Freitas
2017 Misc conf
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously.
CoRL
Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas
2017 J jnl
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously.
CoRR
Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas
2016 A* conf
ACDC: A Structured Efficient Linear Layer.
ICLR (Poster)
Marcin Moczulski, Misha Denil, Jeremy Appleyard, Nando de Freitas
2016 J jnl
Learning to Learn for Global Optimization of Black Box Functions.
CoRR
Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Nando de Freitas
2016 J jnl
Learning to Navigate in Complex Environments.
CoRR
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
2016 J jnl
Learning to Perform Physics Experiments via Deep Reinforcement Learning.
CoRR
Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas
2016 — conf
Learning to learn by gradient descent by gradient descent.
NIPS
Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas
2016 J jnl
Learning to learn by gradient descent by gradient descent.
CoRR
Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas
2016 A* conf
Noisy Activation Functions.
ICML
Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio
2016 J jnl
Noisy Activation Functions.
CoRR
Çaglar Gülçehre, Marcin Moczulski, Misha Denil, Yoshua Bengio
2015 — conf
Deep Apprenticeship Learning for Playing Video Games.
AAAI Workshop: Learning for General Competency in Video Games
Miroslav Bogdanovic, Dejan Markovikj, Misha Denil, Nando de Freitas
2015 A* conf
Deep Fried Convnets.
ICCV
Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
2015 A* conf
From Group to Individual Labels Using Deep Features.
KDD
Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth
2014 J jnl
Deep Fried Convnets.
CoRR
Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
2014 J jnl
Deep Multi-Instance Transfer Learning.
CoRR
Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas
2014 — conf
Distributed Parameter Estimation in Probabilistic Graphical Models.
NIPS
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas
2014 J jnl
Extraction of Salient Sentences from Labelled Documents.
CoRR
Misha Denil, Alban Demiraj, Nando de Freitas
2014 A* conf
Linear and Parallel Learning of Markov Random Fields.
ICML
Yariv Dror Mizrahi, Misha Denil, Nando de Freitas
2014 J jnl
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network.
CoRR
Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas
2014 A* conf
Narrowing the Gap: Random Forests In Theory and In Practice.
ICML
Misha Denil, David Matheson, Nando de Freitas
2013 — conf
Consistency of Online Random Forests.
ICML (3)
Misha Denil, David Matheson, Nando de Freitas
2013 J jnl
Narrowing the Gap: Random Forests In Theory and In Practice.
CoRR
Misha Denil, David Matheson, Nando de Freitas
2013 — conf
Predicting Parameters in Deep Learning.
NIPS
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
2013 J jnl
Predicting Parameters in Deep Learning.
CoRR
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
2012 J jnl
Learning Where to Attend with Deep Architectures for Image Tracking.
Neural Comput.
Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas
2012 J jnl
Recklessly Approximate Sparse Coding
CoRR
Misha Denil, Nando de Freitas
2011 J jnl
A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier
CoRR
Misha Denil, Thomas Trappenberg
2011 J jnl
Learning where to Attend with Deep Architectures for Image Tracking
CoRR
Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas
2010 — conf
Overlap versus Imbalance.
Canadian AI
Misha Denil, Thomas Trappenberg