General • 36 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 | 317 | |
2017 | 313 | |
2018 | 305 | |
2016 | 295 | |
2018 | 250 | |
2016 | 135 | |
2017 | 108 | |
2017 | 77 | |
2018 | 57 | |
2017 | 53 | |
2020 | 38 | |
2000 | 34 | |
2017 | 34 | |
2017 | 33 | |
2016 | 29 | |
2016 | 7 | |
2019 | 5 | |
2000 | 5 | |
2020 | 5 | |
2020 | 3 | |
2021 | 3 | |
2020 | 2 | |
2021 | 2 | |
2020 | 2 | |
2019 | 1 | |
2020 | 1 | |
2020 | 1 | |
2018 | 1 | |
2018 | 1 | |
2021 | 1 | |
2020 | 1 | |
2021 | 1 | |
2021 | 1 | |
2020 | 1 | |
2022 | 1 | |
2022 | 1 |