General • 39 methods
Loss Functions are used to frame the problem to be optimized within deep learning. Below you will find a continuously updating list of (specialized) loss functions for neutral networks.
Method | Year | Papers |
---|---|---|
2017 | 406 | |
2017 | 388 | |
2018 | 376 | |
2016 | 366 | |
2018 | 342 | |
2016 | 210 | |
2020 | 173 | |
2017 | 164 | |
2017 | 90 | |
2018 | 82 | |
2000 | 67 | |
2020 | 61 | |
2017 | 57 | |
2017 | 53 | |
2017 | 53 | |
2000 | 42 | |
2016 | 34 | |
2016 | 7 | |
2019 | 6 | |
2000 | 5 | |
2020 | 5 | |
2021 | 5 | |
2021 | 4 | |
2022 | 4 | |
2020 | 3 | |
2020 | 2 | |
2020 | 2 | |
2020 | 2 | |
2022 | 2 | |
2019 | 1 | |
2020 | 1 | |
2020 | 1 | |
2018 | 1 | |
2018 | 1 | |
2021 | 1 | |
2020 | 1 | |
2021 | 1 | |
2021 | 1 | |
2023 | 1 |