Vikas Verma

13 papers and 502 indexed citations i.

Vikas Verma has authored 13 papers that have received a total of 502 indexed citations. This includes 13 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Domain Adaptation and Few-Shot Learning (8 papers), Adversarial Robustness in Machine Learning (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Vikas Verma is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Adversarial Robustness in Machine Learning (8 papers) and Anomaly Detection Techniques and Applications (5 papers) and collaborates with scholars based in Finland, Canada and United States. Vikas Verma's co-authors include Alex Lamb, Yoshua Bengio, Juho Kannala, Christopher Beckham and Kenji Kawaguchi and has published in prestigious journals such as Neural Networks