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Constraining Representations Yields Models That Know What They Don't Know


Aug 30, 2022
Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam Laradji, David Vazquez


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Workflow Discovery from Dialogues in the Low Data Regime


May 24, 2022
Amine El Hattami, Stefania Raimondo, Issam Laradji, David Vazquez, Pau Rodriguez, Chris Pal


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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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Challenges in leveraging GANs for few-shot data augmentation


Mar 30, 2022
Christopher Beckham, Issam Laradji, Pau Rodriguez, David Vazquez, Derek Nowrouzezahrai, Christopher Pal


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Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark


Dec 01, 2021
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodriguez, David Vazquez


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Multi-label Iterated Learning for Image Classification with Label Ambiguity


Nov 23, 2021
Sai Rajeswar, Pau Rodriguez, Soumye Singhal, David Vazquez, Aaron Courville


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Continual Learning via Local Module Composition


Nov 15, 2021
Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin

* NeurIPS 2021 

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A Survey of Self-Supervised and Few-Shot Object Detection


Nov 08, 2021
Gabriel Huang, Issam Laradji, David Vazquez, Simon Lacoste-Julien, Pau Rodriguez

* Awesome Few-Shot Object Detection (Leaderboard) at https://github.com/gabrielhuang/awesome-few-shot-object-detection 

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Sequoia: A Software Framework to Unify Continual Learning Research


Aug 03, 2021
Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodriguez, Matthew D Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia


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