Frederic Branchaud-Charron

According to our database, Frederic Branchaud-Charron authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Azimuth: Systematic Error Analysis for Text Classification.

Gabrielle Gauthier Melançon, Orlando Marquez Ayala, Lindsay Brin, Chris Tyler, Frederic Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Can Active Learning Preemptively Mitigate Fairness Issues?

Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste

CoRR, 2021

2020

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.

Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai

CoRR, 2020

Bayesian active learning for production, a systematic study and a reusable library.

Parmida Atighehchian, Frédéric Branchaud-Charron, Alexandre Lacoste

CoRR, 2020

Synbols: Probing Learning Algorithms with Synthetic Datasets.

Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Spectral Metric for Dataset Complexity Assessment.

Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization.

Zhiming Luo, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin

IEEE Trans. Image Process., 2018