Louis-Émile Robitaille

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 7

Top Topics

High Resolution Images

Multitask Learning

Similarity Estimation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Fan Zhou, Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
Task Similarity Estimation Through Adversarial Multitask Neural Network. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
A Principled Approach for Learning Task Similarity in Multitask Learning. CoRR (2019)
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné
A Principled Approach for Learning Task Similarity in Multitask Learning. IJCAI (2019)
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy. CoRR (2018)
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy. AAAI (2018)
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal
Rating Super-Resolution Microscopy Images With Deep Learning. AAAI (2018)
Louis Fortier-Dubois, François Laviolette, Mario Marchand, Louis-Émile Robitaille, Jean-Francis Roy
Efficient Learning of Ensembles with QuadBoost. CoRR (2015)