Harm de Vries
About
Harm de Vries has authored 15 papers that have received a total of 848 indexed citations.
This includes 13 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. The topics of these papers are Multimodal Machine Learning Applications (7 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Harm de Vries is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers) and collaborates with scholars based in Canada, United Kingdom and United States. Harm de Vries's co-authors include Aaron Courville, Yoshua Bengio, Dzmitry Bahdanau, Florian Strub and Siva Reddy and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Topology and its Applications and Intelligent Data Analysis
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