David Grangier

41 papers and 5.2k indexed citations i.

David Grangier has authored 41 papers that have received a total of 5.2k indexed citations. This includes 35 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. The topics of these papers are Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Multimodal Machine Learning Applications (11 papers). David Grangier is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Multimodal Machine Learning Applications (11 papers) and collaborates with scholars based in United States, Switzerland and Israel. David Grangier's co-authors include Michael Auli, Myle Ott, Neil Zeghidour, Sergey Edunov and Samy Bengio and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Speech Communication.