Refereed Conference Proceedings

Publications by year. * indicates that authors contributed equally.

2024

Model breadcrumbs: Scaling multi-task model merging with sparse masks

Model breadcrumbs: Scaling multi-task model merging with sparse masks

MohammadReza Davari and Eugene Belilovsky (ECCV 2024)

Paper
CLaC at SemEval-2024 Task 2: Faithful Clinical Trial Inference

CLaC at SemEval-2024 Task 2: Faithful Clinical Trial Inference

Jennifer Marks, MohammadReza Davari, and Leila Kosseim (SemEval 2024)

Paper
Scalable Upcycling of Finetuned Foundation Models via Sparse Task Vectors Merging

Scalable Upcycling of Finetuned Foundation Models via Sparse Task Vectors Merging

MohammadReza Davari and Eugene Belilovsky (ICML 2024 Workshop FM-Wild)

Paper

2023

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning

Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning

Nader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, and Eugene Belilovsky (ICML 2023)

Paper
Reliability of CKA as a Similarity Measure in Deep Learning

Reliability of CKA as a Similarity Measure in Deep Learning

MohammadReza Davari*, Stefan Horoi*, Amine Natik, Guillaume Lajoie, Guy Wolf, and Eugene Belilovsky (ICLR 2023)

Paper

2022

Deceiving the CKA Similarity Measure in Deep Learning

Deceiving the CKA Similarity Measure in Deep Learning

MohammadReza Davari*, Stefan Horoi*, Amine Natik, Guillaume Lajoie, Guy Wolf and Eugene Belilovsky (NeurIPS ML Safety Workshop 2022)

Paper
Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

MohammadReza Davari*, Nader Asadi*, Sudhir Mudur, Rahaf Aljundi and Eugene Belilovsky (CVPR 2022)

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

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 (ICLR GTRL Workshop 2022)

Paper

2021

Probing Representation Forgetting in Continual Learning

Probing Representation Forgetting in Continual Learning

MohammadReza Davari and Eugene Belilovsky (NeurIPS DistShift Workshop 2021)

Paper
Semantic Similarity Matching Using Contextualized Representations

Semantic Similarity Matching Using Contextualized Representations

Farhood Farahnak, Elham Mohammadi*, MohammadReza Davari*, and Leila Kosseim (CanAI 2021)

Paper

2020

TIMBERT: Toponym Identifier For The Medical Domain Based on BERT

TIMBERT: Toponym Identifier For The Medical Domain Based on BERT

MohammdReza Davari, Leila Kosseim and Tien Bui (COLING 2020)

Paper

2019

Toponym Identification in Epidemiology Articles - A Deep Learning Approach

Toponym Identification in Epidemiology Articles - A Deep Learning Approach

MohammdReza Davari, Leila Kosseim and Tien Bui (CICLing 2019)

Best Poster Award

Paper