Misha Denil
About
Misha Denil has authored 17 papers that have received a total of 875 indexed citations.
This includes 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. The topics of these papers are Machine Learning and Data Classification (4 papers), Reinforcement Learning in Robotics (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Misha Denil is often cited by papers focused on Machine Learning and Data Classification (4 papers), Reinforcement Learning in Robotics (4 papers) and Domain Adaptation and Few-Shot Learning (2 papers) and collaborates with scholars based in United Kingdom, Canada and United States. Misha Denil's co-authors include Nando de Freitas, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Peter Battaglia and Serkan Cabi and has published in prestigious journals such as Neural Computation
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