Vikas Verma

30 total papers · 828 total citations
9 papers, 154 citations indexed

Vikas Verma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Vikas Verma has authored 9 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Vikas Verma’s work include Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Vikas Verma is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Vikas Verma collaborates with scholars based in Finland, Canada and United States. Vikas Verma's co-authors include Juho Kannala, Alex Lamb, Yoshua Bengio, Kenji Kawaguchi, Jian Tang, Jisoo Jeong, Meng Qu, Nojun Kwak, Christopher Beckham and Mohammad Amini and has published in prestigious journals such as Neural Networks, Seoul National University Open Repository (Seoul National University) and arXiv (Cornell University).