Aishwarya Kamath
About
Aishwarya Kamath has authored 8 papers that have received a total of 613 indexed citations.
This includes 7 papers in Artificial Intelligence, 5 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 (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (5 papers). Aishwarya Kamath is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (5 papers) and collaborates with scholars based in United States, Germany and United Kingdom. Aishwarya Kamath's co-authors include Jonas Pfeiffer, Iryna Gurevych, Yann LeCun, Andreas Rücklé and Kyunghyun Cho and has published in prestigious journals such as and
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