Maxinder S Kanwal
About
Maxinder S Kanwal has authored 3 papers that have received a total of 371 indexed citations.
This includes 3 papers in Artificial Intelligence, 1 paper in Electrical and Electronic Engineering and 1 paper in Cognitive Neuroscience. The topics of these papers are Stochastic Gradient Optimization Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Privacy-Preserving Technologies in Data (1 paper). Maxinder S Kanwal is often cited by papers focused on Stochastic Gradient Optimization Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Privacy-Preserving Technologies in Data (1 paper) and collaborates with scholars based in Germany, United States and Poland. Maxinder S Kanwal's co-authors include Devansh Arpit, David Krueger, Aaron Courville, Emmanuel Bengio and Asja Fischer and has published in prestigious journals such as Entropy.
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