Meetup: Usages of contrastive losses, Introduction and Applications for sensor data

Pie & AI: Graz, AUSTRIA
Tuesday, June 30th 2020, 18.00 CET on twitch

Pie & AI is a series of meetups independently hosted by community groups. This event is hosted by Deep Learning Graz.

Please complete your registration on the signup form here.

After the event we will provide a limited course promo code for attendees who sign up through the form and complete a post-event survey sent by after the event. The code is for 50% off first-month subscription to any of’s courses on Coursera.

Abstract: Contrastive loss terms allows someone to learn good representations in DeepLearning without labels based on the data alone. This can be used in a later stage f.e. to train classifiers with a greatly (about 100 times) reduced need in labels. F.e. the xent loss learns by data augmentation and negative sampling good representations in an unsupervised manner. We show how to use this loss and train a network, present choices for data augmentation, discuss where it’s useful or not, and present some use cases the presenters worked on with the term.

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