【Distill 系列：三】On the Efficacy of Knowledge Distillation
https://arxiv.org/pdf/1910.01348.pdf teacher不是性能越高越好（這個我實驗驗證得到的結果一致） teacher訓練中early stop（未嘗試），蒸餾中early stop（我這裏不work）有利於提高蒸餾效果 Method 一個潛意識的猜想：性能越高的teacher的蒸餾效果越好 可以看到，隨着teacher模型變大，蒸餾的student性能並沒有依次
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相關文章
- 1. On the Efficacy of Knowledge Distillation
- 2. Awesome Knowledge-Distillation
- 3. 【Distill 系列：一】bmvc2019 Learning Efficient Detector with Semi-supervised Adaptive Distillation
- 4. Knowledge Distillation
- 5. Knowledge Distillation 筆記
- 6. Tutorial: Knowledge Distillation
- 7. 【distill.&transfer】Deep Face Recognition Model Compression via Knowledge Transfer and Distillation
- 8. Knowledge Distillation by On-the-Fly Native Ensemble論文解讀
- 9. 在線多分支融合——Knowledge Distillation by On-the-Fly Native Ensemble
- 10. 深入淺出：Knowledge Distillation by On-the-Fly Native Ensemble