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Self-Training With Noisy Student Improves ImageNet Classification - Paper Explained

Self-Training With Noisy Student Improves ImageNet Classification - Paper Explained

Yannic Kilcher via YouTube Direct link

- Intro & Overview

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1 of 10

- Intro & Overview

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Self-Training With Noisy Student Improves ImageNet Classification - Paper Explained

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  1. 1 - Intro & Overview
  2. 2 - Semi-Supervised & Transfer Learning
  3. 3 - Self-Training & Knowledge Distillation
  4. 4 - Noisy Student Algorithm Overview
  5. 5 - Noise Methods
  6. 6 - Dataset Balancing
  7. 7 - Results
  8. 8 - Perturbation Robustness
  9. 9 - Ablation Studies
  10. 10 - Conclusion & Comments

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