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Data Augmentation for Intent Classification with Off-the-shelf Large Language Models


Apr 05, 2022
Gaurav Sahu, Pau Rodriguez, Issam H. Laradji, Parmida Atighehchian, David Vazquez, Dzmitry Bahdanau

* Accepted to 4th Workshop on NLP for Conversational AI, ACL 2022 

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A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images


Sep 30, 2021
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vazquez, Carol A Flavell, Mostafa Rahimi Azghadi

* 9 pages, 8 figures, 1 tables, Accepted for Publication in the IEEE Journal of Biomedical and Health Informatics (J-BHI) 25-May-2021 

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A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis


Aug 28, 2020
Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov, Michael Bradley, David Vazquez, Marcus Sheaves

* 10 pages, 5 figures, 3 tables, Accepted for Publication in Scientific Reports (Nature) 14 August 2020 

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LOOC: Localize Overlapping Objects with Count Supervision


Jul 03, 2020
Issam H. Laradji, Rafael Pardinas, Pau Rodriguez, David Vazquez


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Where are the Masks: Instance Segmentation with Image-level Supervision


Jul 02, 2019
Issam H. Laradji, David Vazquez, Mark Schmidt

* Accepted at BMVC2019 

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Instance Segmentation with Point Supervision


Jun 14, 2019
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt


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Efficient Deep Gaussian Process Models for Variable-Sized Input


May 16, 2019
Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim

* Accepted in IJCNN 2019 

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Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection


Oct 28, 2018
Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael Friedlander, Hoyt Koepke

* ICML 2015. v2: Updated the Gauss-Southwell-q result in Section 8 and Appendix H, to remove the part depending on mu_1 (the proof had an error). Added Section 8.1, which discusses conditions under which a rate depending on mu_1 does hold 

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Where are the Blobs: Counting by Localization with Point Supervision


Jul 25, 2018
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt


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