Gagné, Christian

24 publications

AAAI 2025 A Layer Selection Approach to Test Time Adaptation Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawé, Yann Batiste Pequignot, Frédéric Precioso, Christian Gagné

TMLR 2025 Revisiting Data Augmentation for Ultrasound Images Adam Tupper, Christian Gagné

NeurIPSW 2024 A Layer Selection Approach to Test Time Adaptation Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe, Yann Batiste Pequignot, Frederic Precioso, Christian Gagné

NeurIPSW 2024 Adversarial Bounding Boxes Generation (ABBG) Attack Against Visual Object Trackers Fatemeh Nourilenjan Nokabadi, Jean-Francois Lalonde, Christian Gagné

NeurIPS 2024 Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné

AAAI 2024 Generalizing Across Temporal Domains with Koopman Operators Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang

TMLR 2024 Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers Fatemeh Nourilenjan Nokabadi, Jean-Francois Lalonde, Christian Gagné

NeurIPSW 2024 TrackPGD: Efficient Adversarial Attack Using Object Binary Masks Against Robust Transformer Trackers Fatemeh Nourilenjan Nokabadi, Yann Batiste Pequignot, Jean-Francois Lalonde, Christian Gagné

JMLR 2023 Gap Minimization for Knowledge Sharing and Transfer Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

ICML 2022 Fair Representation Learning Through Implicit Path Alignment Changjian Shui, Qi Chen, Jiaqi Li, Boyu Wang, Christian Gagné

CVPR 2022 Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné

NeurIPS 2022 On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné

MLJ 2022 On the Benefits of Representation Regularization in Invariance Based Domain Generalization Changjian Shui, Boyu Wang, Christian Gagné

ICML 2021 Aggregating from Multiple Target-Shifted Sources Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X Ling, Boyu Wang

ICCV 2021 Mixture-Based Feature Space Learning for Few-Shot Image Classification Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné

ECCV 2020 Associative Alignment for Few-Shot Image Classification Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné

AISTATS 2020 Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang

IJCAI 2019 A Principled Approach for Learning Task Similarity in Multitask Learning Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné

AAAI 2018 Learning to Become an Expert: Deep Networks Applied to Super-Resolution Microscopy Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

AAAI 2018 Rating Super-Resolution Microscopy Images with Deep Learning Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

ICLR 2017 Robustness to Adversarial Examples Through an Ensemble of Specialists Mahdieh Abbasi, Christian Gagné

UAI 2016 Bayesian Hyperparameter Optimization for Ensemble Learning Julien-Charles Levesque, Christian Gagné, Robert Sabourin

CVPRW 2013 Target Trajectory Prediction in PTZ Camera Networks Vahab Akbarzadeh, Christian Gagné, Marc Parizeau

MLOSS 2012 DEAP: Evolutionary Algorithms Made Easy Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné