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Christian Gagné

INFORMATIQUE WGZ INC.

Meta Learning Black-Box Population-Based Optimizers


Mar 05, 2021
Hugo Siqueira Gomes, Benjamin Léger, Christian Gagné

* 9 pages, 7 figures 

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A Generative Model for Hallucinating Diverse Versions of Super Resolution Images


Feb 12, 2021
Mohamed Abderrahmen Abid, Ihsen Hedhli, Christian Gagné


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Persistent Mixture Model Networks for Few-Shot Image Classification


Nov 24, 2020
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné


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Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence


Jul 30, 2020
Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, Boyu Wang


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Input Dropout for Spatially Aligned Modalities


Feb 07, 2020
Sébastien de Blois, Mathieu Garon, Christian Gagné, Jean-François Lalonde

* 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Associative Alignment for Few-shot Image Classification


Dec 11, 2019
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné


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Deep Active Learning: Unified and Principled Method for Query and Training


Nov 20, 2019
Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang


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Deep Parametric Indoor Lighting Estimation


Oct 19, 2019
Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Christian Gagné, Jean-François Lalonde


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Unsupervised Temperature Scaling: Post-Processing Unsupervised Calibration of Deep Models Decisions


May 08, 2019
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Wilson Leão, Christian Gagné

* arXiv admin note: text overlap with arXiv:1810.11586 

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A Principled Approach for Learning Task Similarity in Multitask Learning


Mar 21, 2019
Changjian Shui, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, Christian Gagné


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Learning of Image Dehazing Models for Segmentation Tasks


Mar 04, 2019
Sébastien de Blois, Ihsen Hedhli, Christian Gagné


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A New Loss Function for Temperature Scaling to have Better Calibrated Deep Networks


Oct 27, 2018
Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Steeven Janny, Christian Gagné


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Accumulating Knowledge for Lifelong Online Learning


Oct 26, 2018
Changjian Shui, Ihsen Hedhli, Christian Gagné


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The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities


Aug 14, 2018
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stephane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Shulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard Watson, Jason Yosinski


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Evaluating and Characterizing Incremental Learning from Non-Stationary Data


Jun 18, 2018
Alejandro Cervantes, Christian Gagné, Pedro Isasi, Marc Parizeau


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Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning


May 16, 2018
Mahdieh Abbasi, Arezoo Rajabi, Christian Gagné, Rakesh B. Bobba


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Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy


Mar 28, 2018
Louis-Émile Robitaille, Audrey Durand, Marc-André Gardner, Christian Gagné, Paul De Koninck, Flavie Lavoie-Cardinal

* Accepted to the Thirtieth Innovative Applications of Artificial Intelligence Conference (IAAI), 2018 

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Out-distribution training confers robustness to deep neural networks


Mar 01, 2018
Mahdieh Abbasi, Christian Gagné


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Diversity regularization in deep ensembles


Feb 22, 2018
Changjian Shui, Azadeh Sadat Mozafari, Jonathan Marek, Ihsen Hedhli, Christian Gagné

* 6 pages 

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Learning to Predict Indoor Illumination from a Single Image


Nov 21, 2017
Marc-André Gardner, Kalyan Sunkavalli, Ersin Yumer, Xiaohui Shen, Emiliano Gambaretto, Christian Gagné, Jean-François Lalonde


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Estimating Quality in Multi-Objective Bandits Optimization


Apr 20, 2017
Audrey Durand, Christian Gagné

* Submitted to ECML 2017 

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Robustness to Adversarial Examples through an Ensemble of Specialists


Mar 10, 2017
Mahdieh Abbasi, Christian Gagné

* Submitted to ICLR 2017 Workshop Track 

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Alternating Direction Method of Multipliers for Sparse Convolutional Neural Networks


Jan 15, 2017
Farkhondeh Kiaee, Christian Gagné, Mahdieh Abbasi

* Under review as a conference paper at ICLR 2017. arXiv admin note: text overlap with arXiv:1111.6188 by other authors 

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Bayesian Hyperparameter Optimization for Ensemble Learning


May 20, 2016
Julien-Charles Lévesque, Christian Gagné, Robert Sabourin

* To appear in proceedings of UAI 2016 

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Sustainable Cooperative Coevolution with a Multi-Armed Bandit


Apr 10, 2013
François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau

* Accepted at GECCO 2013 

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Ensemble Learning for Free with Evolutionary Algorithms ?


Apr 30, 2007
Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini

* Dans GECCO (2007) 

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Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection


Nov 27, 2006
Christian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini

* Dans PPSN'06, 4193 (2006) 1008-1017 

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Genetic Programming, Validation Sets, and Parsimony Pressure


Jan 11, 2006
Christian Gagné, Marc Schoenauer, Marc Parizeau, Marco Tomassini

* Dans EuroGP 2006 

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