Priya Goyal

5 papers and 4.8k indexed citations i.

Priya Goyal has authored 5 papers that have received a total of 4.8k indexed citations. This includes 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Hardware and Architecture. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). Priya Goyal is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers) and collaborates with scholars based in Israel, France and United States. Priya Goyal's co-authors include Zachary DeVito, Nicolas Usunier, William S. Moses, Levent Sagun and Abhinav Gupta and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Architecture and Code Optimization