Tackling Noisy Labels With Network Parameter Additive Decomposition
Given data with noisy labels, over-parameterized deep networks suffer overfitting mislabeled data, resulting in poor generalization. The memorization effect of deep networks shows that although the networks have the ability to memorize all noisy data, they would first memorize clean training data, a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 9 vom: 01. Aug., Seite 6341-6354
|
|---|
| 1. Verfasser: |
Wang, Jingyi
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Xia, Xiaobo,
Lan, Long,
Wu, Xinghao,
Yu, Jun,
Yang, Wenjing,
Han, Bo,
Liu, Tongliang |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2024
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|