Reza Davari PhD Student @ Mila and Concordia University AI enthusiast, currently focused on NLP, CV, and CL. A watermelon connoisseur. Based in Montreal, QC.

Refereed Conference Proceedings

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

MohammadReza Davari*, Nader Asadi*, Sudhir Mudur, Rahaf Aljundi and Eugene Belilovsky, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 2022.
* Equal contribution


Paper

On the Inadequacy of CKA as a Measure of Similarity in Deep Learning

MohammadReza Davari*, Stefan Horoi*, Amine Natik, Guillaume Lajoie, Guy Wolf and Eugene Belilovsky, In Proceedings of the ICLR 2022 Workshop on Geometrical and Topological Representation Learning (ICLR GTRL Workshop 2022), April 2022.
* Equal contribution


Paper

Probing Representation Forgetting in Continual Learning

MohammadReza Davari and Eugene Belilovsky, In Proceedings of the NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications (NeurIPS DistShift Workshop 2021), December 2021.

Paper

Semantic Similarity Matching Using Contextualized Representations

Farhood Farahnak, Elham Mohammadi*, MohammadReza Davari*, and Leila Kosseim, In Proceedings of the 34th Canadian Conference on Artificial Intelligence (CAIAC 2021), June 2021.
* Equal contribution


Paper

TIMBERT: Toponym Identifier For The Medical Domain Based on BERT

MohammdReza Davari, Leila Kosseim and Tien Bui, In Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020), December 2020.

Paper

Toponym Identification in Epidemiology Articles - A Deep Learning Approach

MohammdReza Davari, Leila Kosseim and Tien Bui, In Proceedings of the 20th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2019), April 2019, La Rochelle, France.

🏆 Best Poster Award

Paper