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个人简介
I am Hareesh Bahuleyan, currently working as a Machine Learning Researcher at the Montreal Lab of Borealis AI. I completed my graduate studies in the department of Management Sciences at the University of Waterloo, Canada. During masters, my research focused on the applications of deep learning to natural language processing. My thesis was on the topic Natural Language Generation with Neural Variational Models.
My recent interests include (1) generative models for text using variational auto-encoders; (2) learning disentangled representations for controlled text generation/style transfer; and (3) multi-modal learning with audio and text data. Previously, I have worked on tasks such as sentiment analysis, rumour stance classification, relationship extraction and community question answering. My research supervisor at the University of Waterloo was Prof. Olga Vechtomova and I have also worked closely with Dr. Lili Mou.
My recent interests include (1) generative models for text using variational auto-encoders; (2) learning disentangled representations for controlled text generation/style transfer; and (3) multi-modal learning with audio and text data. Previously, I have worked on tasks such as sentiment analysis, rumour stance classification, relationship extraction and community question answering. My research supervisor at the University of Waterloo was Prof. Olga Vechtomova and I have also worked closely with Dr. Lili Mou.
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Lecture Notes in Electrical EngineeringRecommender Systems in Fashion and Retailpp.33-48, (2022)
2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1pp.4068-4076, (2019)
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