【論文精讀】Improving Simple Models with Confidence Profiles
Improving Simple Models with Confidence Profiles 原文地址：Improving Simple Models with Confidence Profiles Abstract 用ProWeight方法進行模型遷移，使用linear probes通過flattened intermediate representations生成confidence s
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相關文章
- 1. 論文精要解讀：Going Deeper with Convolutions
- 2. 【論文精讀】Knowledge Transfer with Jacobian Matching
- 3. 論文解讀——Improving Object Detection With One Line of Code
- 4. 論文閱讀Recursive Deep Models
- 5. Learning Efficient Object Detection Models with Knowledge Distillation論文精度
- 6. 【論文筆記】Unmasking DeepFakes with simple Features
- 7. SSL論文筆記：FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
- 8. 論文解讀之——《Learning Beyond Human Expertise with Generative Models for Dental Restorations》
- 9. 《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB論文解讀
- 10. 論文閱讀：Generating Abstractive Summaries with Finetuned Language Models