Regularization

General • 57 methods

Regularization strategies are designed to reduce the test error of a machine learning algorithm, possibly at the expense of training error. Many different forms of regularization exist in the field of deep learning. Below you can find a constantly updating list of regularization strategies.

Subcategories

Method Year Papers
2014 18820
1985 9202
2018 7457
1943 7451
2016 767
2018 456
1995 366
2016 314
2019 168
2015 133
2018 130
2018 120
2018 89
2013 77
1986 66
2015 58
2020 57
2000 54
2017 49
2017 49
2014 27
2016 27
2018 26
2016 22
2018 22
2016 20
2022 16
2016 15
2017 14
2020 13
2019 12
2021 10
2019 10
2019 9
2013 7
2017 5
2018 4
2022 4
2018 3
2020 3
2016 3
2021 3
2020 3
2019 3
2016 2
2019 2
2017 2
2023 2
2017 2
2020 1
2021 1
2017 1
2023 1
2021 1
2015 0