Nader Asadi
Machine Learning Research Intern at Borealis AI.

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. 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
Feb 6, 2023 | I’m serving as a reviewer for ICCV 2023. 🕵️ |
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Jan 9, 2023 | I’m joining Borealis AI as a Machine Learning Research Intern. ![]() |
Dec 1, 2022 | I’m serving as a reviewer for CVPR 2023. 🕵️ |
May 12, 2022 | I’m serving as a reviewer for TPAMI. 🕵️ |
Mar 2, 2022 | Our paper got accepted to CVPR 2022! ![]() |
Jan 20, 2022 | Our paper got accepted to ICLR 2022! ![]() |
Oct 23, 2021 | One paper got accepted to NeurIPS 2021 workshop on Distribution Shifts. |
Jan 1, 2021 | Starting my MS at Mila and Concordia. ![]() |
Featured Publications
- Prototype-Sample Relation Distillation: Towards Replay-Free Continual LearningPreprint 2023