Dami Choi
About
Dami Choi has authored 3 papers that have received a total of 25 indexed citations.
This includes 3 papers in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 1 paper in Statistics and Probability. The topics of these papers are Domain Adaptation and Few-Shot Learning (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Machine Learning and Data Classification (1 paper). Dami Choi is often cited by papers focused on Domain Adaptation and Few-Shot Learning (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Machine Learning and Data Classification (1 paper) and collaborates with scholars based in Canada, United States and Switzerland. Dami Choi's co-authors include George Tucker, Jascha Sohl‐Dickstein, Will Grathwohl, Luke Metz and David Duvenaud and has published in prestigious journals such as and
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