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Pau Rodriguez

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MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting

Oct 13, 2022
Oscar Mañas, Pau Rodriguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal

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CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning

Oct 04, 2022
Charles Guille-Escuret, Pau Rodriguez, David Vazquez, Ioannis Mitliagkas, Joao Monteiro

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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

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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

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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

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