Ravid Shwartz-Ziv

3 papers and 638 indexed citations i.

Ravid Shwartz-Ziv is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ravid Shwartz-Ziv has authored 3 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Cognitive Neuroscience and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Ravid Shwartz-Ziv’s work include Machine Learning and Data Classification (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Ravid Shwartz-Ziv is often cited by papers focused on Machine Learning and Data Classification (2 papers), Generative Adversarial Networks and Image Synthesis (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Ravid Shwartz-Ziv collaborates with scholars based in Israel. Ravid Shwartz-Ziv's co-authors include Amitai Armon, Adi Mizrahi, Haim Sompolinsky, Yishai M Elyada and Yann LeCun and has published in prestigious journals such as Information Fusion, Frontiers in Neural Circuits and arXiv (Cornell University).