| Software defect prediction using ensemble learning on selected features IH Laradji, M Alshayeb, L Ghouti Information and Software Technology (IST), 2015 | 355 | 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 | 215 | 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 | 146 | 2018 |
| 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 | 132 | 2019 |
| Embedding propagation: Smoother manifold for few-shot classification P Rodríguez, I Laradji, A Drouin, A Lacoste European Conference on Computer Vision (ECCV), 2020 | 127 | 2020 |
| 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 | 93* | 2020 |
| 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 | 71 | 2021 |
| Convergence rates for greedy Kaczmarz algorithms J Nutini, B Sepehry, A Virani, I Laradji, M Schmidt, H Koepke Uncertainty in Artificial Intelligence (UAI), 2016 | 68* | 2016 |
| 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 | 59 | 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 | 53* | 2022 |
| 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 | 44 | 2020 |
| M-ADDA: Unsupervised domain adaptation with deep metric learning IH Laradji, R Babanezhad Domain Adaptation for Visual Understanding (ICML Workshop), 2020 | 41 | 2020 |
| Where are the masks: Instance segmentation with image-level supervision IH Laradji, D Vazquez, M Schmidt British Machine Vision Conference (BMVC), 2019 | 40 | 2019 |
| Perceptual hashing of color images using hypercomplex representations IH Laradji, L Ghouti, EH Khiari International Conference on Image Processing (ICIP), 2013 | 28 | 2013 |
| Proposal-based instance segmentation with point supervision IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt International Conference on Image Processing (ICIP), 2020 | 25* | 2020 |
| 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 | 23 | 2022 |
| Fast and furious convergence: Stochastic second order methods under interpolation SY Meng, S Vaswani, IH Laradji, M Schmidt, S Lacoste-Julien Artificial Intelligence and Statistics (AISTATS), 2020 | 23 | 2020 |
| A weakly supervised region-based active learning method for covid-19 segmentation in ct images I Laradji, P Rodriguez, F Branchaud-Charron, K Lensink, P Atighehchian, ... arXiv preprint arXiv:2007.07012, 2020 | 20 | 2020 |
| Learning data augmentation with online bilevel optimization for image classification S Mounsaveng, I Laradji, I Ben Ayed, D Vazquez, M Pedersoli Winter Conference on Applications of Computer Vision (WACV), 2021 | 17 | 2021 |
| Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search) S Vaswani, I Laradji, F Kunstner, SY Meng, M Schmidt, S Lacoste-Julien arXiv preprint arXiv:2006.06835, 2020 | 17 | 2020 |
David VázquezServiceNow Research, ELLIS memberVerified email at servicenow.com
