Alex Lamb
About
Alex Lamb has authored 17 papers that have received a total of 703 indexed citations.
This includes 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Adversarial Robustness in Machine Learning (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Alex Lamb is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers) and collaborates with scholars based in Canada, United States and Finland. Alex Lamb's co-authors include Yoshua Bengio, Vikas Verma, Juho Kannala, Christopher Beckham and David López-Paz and has published in prestigious journals such as Journal of Theoretical Biology, Neural Networks and SN Computer Science
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