1.6k citations · 2.2k across the 30 of their papers we have counts for
3 papers · 1 filter
SPeCiaL: Self-Supervised Pretraining for Continual Learning
Lucas Caccia, Joelle Pineau
This paper presents SPeCiaL: a method for unsupervised pretraining of representations tailored for continual learning. Our approach devises a meta-learning objective that different…
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram, Matthew Muckley, Koustuv Sinha +7
The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients presenting to emergency departments a necessity. M…
Deep Generative Modeling of LiDAR Data
Lucas Caccia, Herke van Hoof, Aaron Courville +1
Building models capable of generating structured output is a key challenge for AI and robotics. While generative models have been explored on many types of data, little work has be…