Nader Asadi

I’m a computer science master’s student at Mila and Concordia University, advised by Eugene Belilovsky and Sudhir Mudur. I’m broadly interested in machine learning and computer vision. Currently, my research focuses on self-supervised learning, continual learning, and out-of-distribution generalization. I’m also interested in problems at the intersection of computer vision and language, particularly multi-modal video representation learning for video retrieval and summarization.
Also, I’m an enthusiastic developer in big data space, experienced in machine learning and data mining as well as design and development of data models, data warehouse and data lake solutions, and distributed data-processing/analytics systems.
News
Selected Papers
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CVPRProbing Representation Forgetting in Supervised and Unsupervised Continual LearningIEEE/CVF Conference on Computer Vision and Pattern Recognition 2022
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WorkshopTackling Online One-Class Incremental Learning by Removing Negative ContrastsIn NeurIPS 2021 Workshop on Distribution Shifts 2021
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PreprintTowards shape biased unsupervised representation learning for domain generalizationarXiv preprint 2019