Improving Generalization by Self-Training & Self Distillation

Improving Generalization by Self-Training & Self Distillation

MITCBMM via YouTube Direct link

Intro

1 of 19

1 of 19

Intro

Class Central Classrooms beta

YouTube playlists curated by Class Central.

Classroom Contents

Improving Generalization by Self-Training & Self Distillation

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Main Reference
  3. 3 Self-Training
  4. 4 Self-Distillation [Deep Learning]
  5. 5 Self-Distillation More Profound
  6. 6 Learning Functions in Hilbert Space
  7. 7 Unconstrained Form
  8. 8 Intuition
  9. 9 Closed Form Solution
  10. 10 Connections
  11. 11 Challenges
  12. 12 Power Iteration Analogy
  13. 13 Capacity Control
  14. 14 Generalization Guarantees
  15. 15 Revisiting Illustrative Example
  16. 16 Advantage of Near Interpolation
  17. 17 Early Stopping
  18. 18 Deep Learning Experiments
  19. 19 Open Problems

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.