Intra-Class Mixup for Out-of-Distribution Detection
Deep neural networks (DNNs) have found widespread adoption in solving image recognition and natural language processing tasks. However, they make confident mispredictions when presented with data that does not belong to the training distribution, i.e. out-of-distribution (OoD) samples. Research has...
-д хадгалсан:
| Үндсэн зохиолчид: | , , , |
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| Формат: | Artigo |
| Хэл сонгох: | Inglês |
| Хэвлэсэн: |
IEEE
2023-01-01
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| Цуврал: | IEEE Access |
| Нөхцлүүд: | |
| Онлайн хандалт: | https://ieeexplore.ieee.org/document/10064300/ |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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