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A Survey of Self-Supervised and Few-Shot Object Detection


Nov 08, 2021
Gabriel Huang, Issam Laradji, David Vazquez, Simon Lacoste-Julien, Pau Rodriguez

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* Awesome Few-Shot Object Detection (Leaderboard) at https://github.com/gabrielhuang/awesome-few-shot-object-detection 

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Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning


Mar 16, 2021
Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien

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* Appears in: Proceedings of the Ninth International Conference on Learning Representations (ICLR 2021). 20 pages 

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Centroid Networks for Few-Shot Clustering and Unsupervised Few-Shot Classification


Feb 22, 2019
Gabriel Huang, Hugo Larochelle, Simon Lacoste-Julien

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Scattering Networks for Hybrid Representation Learning


Sep 17, 2018
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew Blaschko, Eugene Belilovsky

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* IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2018, pp.11 
* arXiv admin note: substantial text overlap with arXiv:1703.08961 

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Negative Momentum for Improved Game Dynamics


Jul 12, 2018
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki, Gabriel Huang, Remi Lepriol, Simon Lacoste-Julien, Ioannis Mitliagkas

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Parametric Adversarial Divergences are Good Task Losses for Generative Modeling


Jun 27, 2018
Gabriel Huang, Hugo Berard, Ahmed Touati, Gauthier Gidel, Pascal Vincent, Simon Lacoste-Julien

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* 22 pages 

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