Marc’Aurelio Ranzato
About
Marc’Aurelio Ranzato has authored 46 papers that have received a total of 9.6k indexed citations.
This includes 34 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. The topics of these papers are Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers). Marc’Aurelio Ranzato is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Domain Adaptation and Few-Shot Learning (9 papers) and collaborates with scholars based in United States, Israel and Canada. Marc’Aurelio Ranzato's co-authors include Myle Ott, Sumit Chopra, Michael Auli, Ludovic Denoyer and Guillaume Lample and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Trends in Cognitive Sciences and Applied and Computational Harmonic Analysis
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