This event is free and open to everyone. It will be hosted on Google Meet: join us on slack to get the link (the #reading-group channel). Otherwise you can grab you ticket (link inside) with a voluntary donation (even just 1$ will do)!

Please consider that:

1. this is a community effort: the speakers & organizers of the event do not receive any compensation.
2. the full amount collected through donations will be used exclusively to face CAI costs for event hosting and community services.

--------- Event Description -----------

Hi everyone! This Friday 16-04-2021, 5.30pm CEST, for the ContinualAI Reading Group, Muhammad Umar Karim Khan (Korea Advanced Institute of Science and Technology (KAIST)) will present the paper:

Title: “Towards Continual, Online, Unsupervised Depth”

Abstract: Although depth extraction with passive sensors has seen remarkable improvement with deep learning, these approaches may fail to obtain correct depth if they are exposed to environments not observed during training. Online adaptation, where the neural network trains while deployed, with unsupervised learning provides a convenient solution. However, online adaptation causes a neural network to forget the past. Thus, past training is wasted and the network is not able to provide good results if it observes past scenes. This work deals with practical online-adaptation where the input is online and temporally-correlated, and training is completely unsupervised. Regularization and replay-based methods without task boundaries are proposed to avoid catastrophic forgetting while adapting to online data. Experiments are performed on different datasets with both structure-from-motion and stereo. Results of forgetting as well as adaptation are provided, which are superior to recent methods. The proposed approach is more inline with the artificial general intelligence paradigm as the neural network learns the scene where it is deployed without any supervision (target labels and tasks) and without forgetting about the past.

The event will be moderated by: Vincenzo Lomonaco.

--------- ContinualAI Reading Group -----------

The ContinualAI Reading Group is hosted every Friday in collaboration with MILA and it is based on roughly 60 minutes discussion about a particular Continual Learning paper. Occasionally, a speaker is invited to explain his work.

Join our reading group on slack! It will be the occasion to talk with other researchers of this amazing field!

--------------- About ContinualAI ---------------

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