Self-Supervised Learning

General • 46 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 622
2021 403
2020 199
2016 179
2019 126
2016 123
2020 107
2018 95
2021 94
2021 52
2020 46
2020 28
2020 24
2016 14
2021 13
2020 10
2018 9
2021 9
2020 8
2019 7
2021 6
2019 5
2020 5
2019 4
2020 4
2018 4
2022 4
2022 4
2021 4
2020 3
2020 3
2020 3
2020 3
2017 2
2020 2
2021 2
2019 1
2019 1
2019 1
2019 1
2020 1
2021 1
2021 1
2022 1
2023 1