Denoising in Representation Space via Data-Dependent Regularization for Better Representation
Despite the success of deep learning models, it remains challenging for the over-parameterized model to learn good representation under small-sample-size settings. In this paper, motivated by previous work on out-of-distribution (OoD) generalization, we study the representation learning problem from...
Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2023-05-01
|
| Seri Bilgileri: | Mathematics |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2227-7390/11/10/2327 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|