H11-M08_DOC.zip
From the dataset abstract
Method 最先進的（SOTA）方法通常是通過監督式學習來訓練的，這需要大量的labeled data。由於標記數資料需要大量的人力和時間成本，尤其是那些需要由專家來標記的資料(如醫學相關)，所需要的成本更是難以負擔。Unlabeled data因為不需要標註所以取得相對容易且成本較低，因此如何能有效利用unlabeled...
Source: H11-M08_漸進式資料標註更正的自主學習模型
Additional Information
| Field | Value |
|---|---|
| Data last updated | October 4, 2023 |
| Metadata last updated | October 4, 2023 |
| Created | October 4, 2023 |
| Format | ZIP |
| License | Other (Non-Commercial) |
| Created | over 1 year ago |
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