Misha Denil
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
8
Active years
2010–2024
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICLR | π2vec: Policy Representation with Successor Features. | Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen, Misha Denil |
| 2020 | CoRL | Positive-Unlabeled Reward Learning. | Danfei Xu, Misha Denil |
| 2020 | CoRL | Task-Relevant Adversarial Imitation Learning. | Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gmez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang |
| 2020 | ICLR | Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. | aglar Glehre, 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 |
| 2019 | ICLR | Hyperbolic Attention Networks. | aglar Glehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter W. Battaglia, Victor Bapst, David Raposo, Adam Santoro, Nando de Freitas |
| 2019 | Interspeech | Large-Scale Visual Speech Recognition. | Brendan Shillingford, Yannis M. Assael, Matthew W. Hoffman, Thomas Paine, Can 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 |
| 2018 | ICLR | Learning Awareness Models. | Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothrl, Sergio Gomez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil |
| 2017 | CoRL | The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. | Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas |
| 2017 | ICLR | Learning to Perform Physics Experiments via Deep Reinforcement Learning. | Misha Denil, Pulkit Agrawal, Tejas D. Kulkarni, Tom Erez, Peter W. Battaglia, Nando de Freitas |
| 2017 | ICLR | Learning to Navigate in Complex Environments. | 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 | ICML | Learning to Learn without Gradient Descent by Gradient Descent. | Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas |
| 2017 | ICML | Learned Optimizers that Scale and Generalize. | Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Nando de Freitas, Jascha Sohl-Dickstein |
| 2016 | ICML | Noisy Activation Functions. | aglar Glehre, Marcin Moczulski, Misha Denil, Yoshua Bengio |
| 2015 | AAAI | Deep Apprenticeship Learning for Playing Video Games. | Miroslav Bogdanovic, Dejan Markovikj, Misha Denil, Nando de Freitas |
| 2015 | ICCV | Deep Fried Convnets. | Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang |
| 2015 | KDD | From Group to Individual Labels Using Deep Features. | Dimitrios Kotzias, Misha Denil, Nando de Freitas, Padhraic Smyth |
| 2014 | ICML | Narrowing the Gap: Random Forests In Theory and In Practice. | Misha Denil, David Matheson, Nando de Freitas |
| 2014 | ICML | Linear and Parallel Learning of Markov Random Fields. | Yariv Dror Mizrahi, Misha Denil, Nando de Freitas |
| 2013 | ICML | Consistency of Online Random Forests. | Misha Denil, David Matheson, Nando de Freitas |
| 2010 | AI | Overlap versus Imbalance. | Misha Denil, Thomas Trappenberg |