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Issam H. Laradji
Issam H. Laradji
Senior Research Scientist at ServiceNow Research
Verified email at servicenow.com
Title
Cited by
Cited by
Year
Software defect prediction using ensemble learning on selected features
IH Laradji, M Alshayeb, L Ghouti
Information and Software Technology 58, 388-402, 2015
3342015
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), 1632-1641, 2015
2092015
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), 547-562, 2018
1352018
Painless stochastic gradient: Interpolation, line-search, and convergence rates
S Vaswani, A Mishkin, I Laradji, M Schmidt, G Gidel, S Lacoste-Julien
Advances in neural information processing systems 32, 2019
1232019
Embedding propagation: Smoother manifold for few-shot classification
P Rodríguez, I Laradji, A Drouin, A Lacoste
European Conference on Computer Vision, 121-138, 2020
1072020
Online fast adaptation and knowledge accumulation: a new approach to continual learning
M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, L Caccia, ...
arXiv preprint arXiv:2003.05856, 2020
76*2020
Convergence rates for greedy Kaczmarz algorithms
J Nutini, B Sepehry, A Virani, I Laradji, M Schmidt, H Koepke
Conference on Uncertainty in Artificial Intelligence, 2016
65*2016
Stochastic polyak step-size for sgd: An adaptive learning rate for fast convergence
N Loizou, S Vaswani, IH Laradji, S Lacoste-Julien
International Conference on Artificial Intelligence and Statistics, 1306-1314, 2021
622021
Let's Make Block Coordinate Descent Go Fast: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence
J Nutini, I Laradji, M Schmidt
arXiv preprint arXiv:1712.08859, 2017
512017
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, ...
IEEE/CVF Winter Conference on Applications of Computer Vision, 2453-2462, 2021
492021
Where are the masks: Instance segmentation with image-level supervision
IH Laradji, D Vazquez, M Schmidt
arXiv preprint arXiv:1907.01430, 2019
362019
M-ADDA: Unsupervised domain adaptation with deep metric learning
IH Laradji, R Babanezhad
Domain adaptation for visual understanding, 17-31, 2020
352020
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
A Saleh, IH Laradji, DA Konovalov, M Bradley, D Vazquez, M Sheaves
Scientific Reports 10 (1), 1-10, 2020
292020
Perceptual hashing of color images using hypercomplex representations
IH Laradji, L Ghouti, EH Khiari
2013 IEEE International Conference on Image Processing, 4402-4406, 2013
282013
Fast and furious convergence: Stochastic second order methods under interpolation
SY Meng, S Vaswani, IH Laradji, M Schmidt, S Lacoste-Julien
International Conference on Artificial Intelligence and Statistics, 1375-1386, 2020
202020
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 303, 103635, 2022
182022
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
182020
Instance segmentation with point supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vázquez, M Schmidt
arXiv preprint arXiv:1906.06392, 2019
152019
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
142020
Beyond trivial counterfactual explanations with diverse valuable explanations
P Rodríguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
112021
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