General • 58 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 | 20457 | |
1985 | 10272 | |
2018 | 8047 | |
1943 | 8030 | |
2016 | 820 | |
2018 | 473 | |
1995 | 385 | |
2016 | 337 | |
2019 | 172 | |
2015 | 133 | |
2018 | 130 | |
2018 | 122 | |
2018 | 93 | |
2013 | 78 | |
1986 | 71 | |
2015 | 58 | |
2020 | 58 | |
2000 | 57 | |
2017 | 49 | |
2017 | 49 | |
2016 | 28 | |
2014 | 27 | |
2018 | 27 | |
2018 | 23 | |
2016 | 22 | |
2016 | 20 | |
2022 | 18 | |
2016 | 15 | |
2017 | 14 | |
2019 | 13 | |
2020 | 13 | |
2019 | 11 | |
2021 | 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 | |
2000 | 0 | |
2015 | 0 |