Self-Supervised Learning

General • 23 methods

Self-Supervised Learning refers to a category of methods where we learn representations in a self-supervised way (i.e without labels). These methods generally involve a pretext task that is solved to learn a good representation and a loss function to learn with. Below you can find a continuously updating list of self-supervised methods.

Method Year Papers
2016 88
2016 58
2019 42
2020 41
2018 35
2020 22
2020 12
2016 10
2020 9
2018 4
2019 4
2021 4
2019 3
2018 3
2019 2
2020 2
2021 2
2019 1
2019 1
2017 1
2019 1
2019 1