Kate Rakelly

4 papers and 163 indexed citations i.

Kate Rakelly is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cell Biology. According to data from OpenAlex, Kate Rakelly has authored 4 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Cell Biology. Recurrent topics in Kate Rakelly’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Reinforcement Learning in Robotics (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Kate Rakelly is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Reinforcement Learning in Robotics (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Kate Rakelly collaborates with scholars based in United States. Kate Rakelly's co-authors include Alexei A. Efros, Sergey Levine, Shiry Ginosar, Evan Shelhamer and Trevor Darrell and has published in prestigious journals such as IEEE Transactions on Computational Imaging.