| Software defect prediction using ensemble learning on selected features IH Laradji, M Alshayeb, L Ghouti Information and Software Technology (IST), 2015 | 464 | 2015 |
| Coordinate descent converges faster with the gauss-southwell rule than random selection J Nutini, M Schmidt, I Laradji, M Friedlander, H Koepke International Conference on Machine Learning (ICML), 2015 | 263 | 2015 |
| Where are the blobs: Counting by localization with point supervision IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt Proceedings of the European Conference on Computer Vision (ECCV), 2018 | 219 | 2018 |
| Embedding propagation: Smoother manifold for few-shot classification P Rodríguez, I Laradji, A Drouin, A Lacoste European Conference on Computer Vision (ECCV), 2020 | 218 | 2020 |
| Painless stochastic gradient: Interpolation, line-search, and convergence rates S Vaswani, A Mishkin, I Laradji, M Schmidt, G Gidel, S Lacoste-Julien Neural Information Processing Systems (NeurIPS), 2019 | 213 | 2019 |
| Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence N Loizou, S Vaswani, IH Laradji, S Lacoste-Julien Artificial Intelligence and Statistics (AISTATS), 2021 | 164 | 2021 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Computer Vision and Pattern Recognition (CVPR), 2022 | 148 | 2022 |
| Online fast adaptation and knowledge accumulation: a new approach to continual learning M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ... Neural Information Processing System (NeurIPS), 2020 | 142* | 2020 |
| A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis A Saleh, IH Laradji, DA Konovalov, M Bradley, D Vazquez, M Sheaves Nature Scientific Reports, 2020 | 113 | 2020 |
| A weakly supervised consistency-based learning method for covid-19 segmentation in ct images I Laradji, P Rodriguez, O Manas, K Lensink, M Law, L Kurzman, W Parker, ... Winter Conference on Applications of Computer Vision (WACV), 2021 | 93 | 2021 |
| Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence J Nutini, I Laradji, M Schmidt Journal of Machine Learning Research (JMLR), 2022 | 85* | 2022 |
| Convergence rates for greedy Kaczmarz algorithms J Nutini, B Sepehry, A Virani, I Laradji, M Schmidt, H Koepke Uncertainty in Artificial Intelligence (UAI), 2016 | 79* | 2016 |
| A survey of self-supervised and few-shot object detection G Huang, I Laradji, D Vázquez, S Lacoste-Julien, P Rodriguez Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022 | 78 | 2022 |
| Where are the masks: Instance segmentation with image-level supervision IH Laradji, D Vazquez, M Schmidt British Machine Vision Conference (BMVC), 2019 | 64 | 2019 |
| Data Augmentation for Intent Classification with Off-the-shelf Large Language Models G Sahu, P Rodriguez, IH Laradji, P Atighehchian, D Vazquez, ... NLP4ConvAI 2022, 2022 | 61 | 2022 |
| Proposal-based instance segmentation with point supervision IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt International Conference on Image Processing (ICIP), 2020 | 57* | 2020 |
| M-ADDA: Unsupervised domain adaptation with deep metric learning IH Laradji, R Babanezhad Domain Adaptation for Visual Understanding (ICML Workshop), 2020 | 56 | 2020 |
| Beyond trivial counterfactual explanations with diverse valuable explanations P Rodríguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ... International Conference on Computer Vision (ICCV), 2021 | 53 | 2021 |
| Cvpr 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ... Artificial Intelligence (AI), 2022 | 51 | 2022 |
| Neural point light fields J Ost, I Laradji, A Newell, Y Bahat, F Heide Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 42 | 2022 |
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