Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Simon Lacoste-Julien

Simon Lacoste-Julien

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

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

Figure 1 for A Survey of Self-Supervised and Few-Shot Object Detection

Figure 2 for A Survey of Self-Supervised and Few-Shot Object Detection

Figure 3 for A Survey of Self-Supervised and Few-Shot Object Detection

Figure 4 for A Survey of Self-Supervised and Few-Shot Object Detection

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

Access Paper or Ask Questions

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

Jul 21, 2021
Sébastien Lachapelle, Pau Rodríguez López, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien

Figure 1 for Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA

Figure 2 for Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA

Figure 3 for Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA

Figure 4 for Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA

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

Access Paper or Ask Questions

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

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

Figure 1 for Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

Figure 2 for Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

Figure 3 for Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

Figure 4 for Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

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

Access Paper or Ask Questions

On the Convergence of Continuous Constrained Optimization for Structure Learning

Dec 16, 2020
Ignavier Ng, Sébastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien

Figure 1 for On the Convergence of Continuous Constrained Optimization for Structure Learning

Figure 2 for On the Convergence of Continuous Constrained Optimization for Structure Learning

Figure 3 for On the Convergence of Continuous Constrained Optimization for Structure Learning

Figure 4 for On the Convergence of Continuous Constrained Optimization for Structure Learning

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

Access Paper or Ask Questions

Geometry-Aware Universal Mirror-Prox

Nov 23, 2020
Reza Babanezhad, Simon Lacoste-Julien

Access Paper or Ask Questions