Alex Lamb

14 papers and 357 indexed citations .

Alex Lamb is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Alex Lamb has authored 14 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Alex Lamb’s work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alex Lamb is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alex Lamb collaborates with scholars based in Canada, United States and Finland. Alex Lamb's co-authors include Yoshua Bengio, Christopher Beckham, Ioannis Mitliagkas, Aaron Courville, Vikas Verma, David López-Paz, Amir Najafi, Vikas Verma, Anirudh Goyal and Ying Zhang and has published in prestigious journals such as Journal of Theoretical Biology, Neural Networks and SN Computer Science.