Issam H. Laradji

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David VázquezServiceNow Research, ELLIS memberDirección de correo verificada de servicenow.com
Pau RodríguezApple Machine Learning Research, ELLIS memberDirección de correo verificada de apple.com
Mark SchmidtProfessor of Computer Science, University of British ColumbiaDirección de correo verificada de cs.ubc.ca
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchDirección de correo verificada de servicenow.com
Sharan VaswaniSimon Fraser UniversityDirección de correo verificada de sfu.ca
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaDirección de correo verificada de iro.umontreal.ca
Julie NutiniSenior Scientist at Planet LabsDirección de correo verificada de planet.com
Lahouari GhoutiAssociate Professor of Computer Science, Prince Sultan UniversityDirección de correo verificada de psu.edu.sa
Laurent CharlinAssociate Professor, HEC Montréal & Mila, Canada CIFAR AI ChairDirección de correo verificada de hec.ca
Negar RostamzadehResearch Scientist at Google ResearchDirección de correo verificada de google.com
Pedro O. PinheiroPrescient Design, GenentechDirección de correo verificada de epfl.ch
Hoyt KoepkeUniversity of Washington Department of StatisticsDirección de correo verificada de stat.washington.edu
Mohammad AlshayebProfessor of Software Engineering, King Fahd University of Petroleum and MineralsDirección de correo verificada de kfupm.edu.sa
Irina RishUniversity of Montreal / Mila -Quebec AI InstituteDirección de correo verificada de mila.quebec
Fabrice NormandinMilaDirección de correo verificada de mila.quebec
Aaron MishkinPhD Student, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Gauthier GidelAssistant professor at Mila, University of Montréal (DIRO)Dirección de correo verificada de umontreal.ca
Behrooz SepehrySoftware Engineer, AmazonDirección de correo verificada de alumni.ubc.ca
El-Hebri KhiariDirección de correo verificada de uottawa.ca
Reza BabanezhadSamsung AI lab

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Issam H. Laradji

Staff Research Scientist at ServiceNow & Adjunct Professor at University of British Columbia

Dirección de correo verificada de servicenow.com - Página principal

Natural Language Processing Computer Vision Optimization


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Software defect prediction using ensemble learning on selected features IH Laradji, M Alshayeb, L Ghouti Information and Software Technology (IST), 2015	484	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	274	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	238	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	235	2019
Embedding propagation: Smoother manifold for few-shot classification P Rodríguez, I Laradji, A Drouin, A Lacoste European Conference on Computer Vision (ECCV), 2020	228	2020
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	198	2022
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	189	2021
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	160*	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	136	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	102	2021
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	96	2022
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	96*	2022
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	87	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	83*	2016
Where are the masks: Instance segmentation with image-level supervision IH Laradji, D Vazquez, M Schmidt British Machine Vision Conference (BMVC), 2019	68	2019
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	63	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	60	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	59*	2020
M-ADDA: Unsupervised domain adaptation with deep metric learning IH Laradji, R Babanezhad Domain Adaptation for Visual Understanding (ICML Workshop), 2020	59	2020
Neural point light fields J Ost, I Laradji, A Newell, Y Bahat, F Heide Conference on Computer Vision and Pattern Recognition (CVPR), 2022	51	2022

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