AI-Generating Algorithms - A Unique Opportunity

AI-Generating Algorithms - A Unique Opportunity

Association for Computing Machinery (ACM) via YouTube Direct link

Intro

1 of 31

1 of 31

Intro

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AI-Generating Algorithms - A Unique Opportunity

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  1. 1 Intro
  2. 2 Manual Path to AI
  3. 3 Clear Machine Learning Trend: Hand-designed pipelines are ultimately outperformed by learned solutions
  4. 4 Al-Generating Algorithms
  5. 5 Synthetic Petri Dish A Novel Surrogate Model for Rapid Architecture Search
  6. 6 Meta-learn learning algorithms
  7. 7 Meta-Learning Algorithms
  8. 8 Pillar 2: Meta-Learning
  9. 9 Catastrophic Forgetting
  10. 10 Proposal: Use meta-learning to learn to continually learn
  11. 11 Traditional Neuromodulation
  12. 12 Learned Sparsity
  13. 13 ANML Implications
  14. 14 Pillar 2: Meta-learn learning algorithm
  15. 15 A Paradox
  16. 16 Key for Science & Technological Innovation: Generating Problems, Goal Switching
  17. 17 Qualitatively Different
  18. 18 Intrinsic Motivation
  19. 19 Derailment
  20. 20 Avoids Detachment By Remembering Promising Exploration Stepping Stones
  21. 21 Results on Montezuma's Revenge
  22. 22 Pitfall
  23. 23 Go-Explore: Implications
  24. 24 What's missing?
  25. 25 Traditional ML
  26. 26 Paired Open-Ended Trailblazer (POET)
  27. 27 Task: Obstacle Courses
  28. 28 Direct Path Curriculum Fails
  29. 29 Enhanced POET
  30. 30 POET: Future Work
  31. 31 Overall Conclusions

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