A comprehensive evaluation of pretraining strategies for channel-agnostic contrastive self-supervision of biosignals

Thea Brüsch, Mikkel N. Schmidt, Tommy S. Alstrøm

Contrastive learning yields impressive results for self-supervision in computer vision. The approach relies on the creation of positive pairs, something which is often achieved thr…