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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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Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA


Jul 21, 2021
SĂ©bastien Lachapelle, Pau RodrĂ­guez LĂłpez, RĂ©mi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien

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* Appears in: Workshop on the Neglected Assumptions in Causal Inference (NACI) at the 38 th International Conference on Machine Learning, 2021. 19 pages 

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Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity


Jun 30, 2021
Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien

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* 35 pages, 3 figures, 1 table 

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Structured Convolutional Kernel Networks for Airline Crew Scheduling


May 25, 2021
Yassine Yaakoubi, François Soumis, Simon Lacoste-Julien

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* ICML 2021 

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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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Online Adversarial Attacks


Mar 02, 2021
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel

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* Preprint 

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SVRG Meets AdaGrad: Painless Variance Reduction


Feb 18, 2021
Benjamin Dubois-Taine, Sharan Vaswani, Reza Babanezhad, Mark Schmidt, Simon Lacoste-Julien

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On the Convergence of Continuous Constrained Optimization for Structure Learning


Dec 16, 2020
Ignavier Ng, SĂ©bastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien

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* NeurIPS 2020 Workshop on Causal Discovery and Causality-Inspired Machine Learning 

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Geometry-Aware Universal Mirror-Prox


Nov 23, 2020
Reza Babanezhad, Simon Lacoste-Julien

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