General • 62 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 | 23567 | |
1985 | 12164 | |
2018 | 9275 | |
1943 | 9231 | |
2016 | 941 | |
2018 | 501 | |
1995 | 413 | |
2016 | 393 | |
2019 | 178 | |
2015 | 137 | |
2018 | 132 | |
2018 | 122 | |
2018 | 103 | |
2013 | 82 | |
1986 | 75 | |
2020 | 66 | |
2015 | 63 | |
2000 | 61 | |
2017 | 52 | |
2017 | 52 | |
2018 | 29 | |
2016 | 29 | |
2014 | 28 | |
2016 | 26 | |
2018 | 25 | |
2016 | 22 | |
2022 | 19 | |
2019 | 16 | |
2016 | 15 | |
2017 | 14 | |
2020 | 13 | |
2019 | 12 | |
2021 | 10 | |
2019 | 9 | |
2013 | 7 | |
2016 | 6 | |
2020 | 5 | |
2017 | 5 | |
2022 | 4 | |
2018 | 4 | |
2021 | 4 | |
2019 | 4 | |
2022 | 4 | |
2020 | 3 | |
2016 | 3 | |
2018 | 3 | |
2020 | 3 | |
2017 | 2 | |
2017 | 2 | |
2019 | 2 | |
2023 | 2 | |
2024 | 2 | |
2020 | 1 | |
2021 | 1 | |
2023 | 1 | |
2017 | 1 | |
2023 | 1 | |
2021 | 1 | |
2000 | 0 | |
2015 | 0 |