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Proper Reuse of Image Classification Features Improves Object Detection


Apr 01, 2022
Cristina Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin

* CVPR 2022 

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Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning


Jan 10, 2022
Utku Evci, Vincent Dumoulin, Hugo Larochelle, Michael C. Mozer


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Impact of Aliasing on Generalization in Deep Convolutional Networks


Aug 07, 2021
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin

* Accepted to ICCV 2021 

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Domain Conditional Predictors for Domain Adaptation


Jun 25, 2021
Joao Monteiro, Xavier Gibert, Jianqiao Feng, Vincent Dumoulin, Dar-Shyang Lee

* Part of the pre-registration workshop at NeurIPS 2020: https://preregister.science/ 

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Learning a Universal Template for Few-shot Dataset Generalization


May 14, 2021
Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin


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Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark


Apr 06, 2021
Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle


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An Effective Anti-Aliasing Approach for Residual Networks


Nov 20, 2020
Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Nicolas Le Roux, Ross Goroshin


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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples


Mar 07, 2019
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle


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The Hanabi Challenge: A New Frontier for AI Research


Feb 01, 2019
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling

* 37 pages, 5 figures, submitted to Artificial Intelligence 

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Cross-Modulation Networks for Few-Shot Learning


Dec 01, 2018
Hugo Prol, Vincent Dumoulin, Luis Herranz

* Accepted at NIPS 2018 Workshop on Meta-Learning. Source code available at https://github.com/hprop/cross-modulation-nets 

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