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 | 402 | |
2017 | 384 | |
2018 | 367 | |
2016 | 362 | |
2018 | 335 | |
2016 | 205 | |
2017 | 164 | |
2020 | 162 | |
2017 | 89 | |
2018 | 81 | |
2000 | 66 | |
2020 | 59 | |
2017 | 56 | |
2017 | 52 | |
2017 | 50 | |
2000 | 41 | |
2016 | 33 | |
2016 | 7 | |
2019 | 6 | |
2000 | 5 | |
2020 | 5 | |
2021 | 5 | |
2020 | 3 | |
2021 | 3 | |
2022 | 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 |