【论文精读】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方法进行模型迁移，使用linear probes通过flattened intermediate representations生成confidence s
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相关文章
- 1. 论文精要解读：Going Deeper with Convolutions
- 2. 【论文精读】Knowledge Transfer with Jacobian Matching
- 3. 论文解读——Improving Object Detection With One Line of Code
- 4. 论文阅读Recursive Deep Models
- 5. Learning Efficient Object Detection Models with Knowledge Distillation论文精度
- 6. 【论文笔记】Unmasking DeepFakes with simple Features
- 7. SSL论文笔记：FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
- 8. 论文解读之——《Learning Beyond Human Expertise with Generative Models for Dental Restorations》
- 9. 《Beyond Part Models: Person Retrieval with Refined Part Pooling 》PCB论文解读
- 10. 论文阅读：Generating Abstractive Summaries with Finetuned Language Models