UW CSE AI Seminar 2016 - Ashish Sabharwal, Beyond Informational Retrieval

UW CSE AI Seminar 2016 - Ashish Sabharwal, Beyond Informational Retrieval

Paul G. Allen School via YouTube Direct link

Automatic parameter tuning

28 of 34

28 of 34

Automatic parameter tuning

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UW CSE AI Seminar 2016 - Ashish Sabharwal, Beyond Informational Retrieval

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  1. 1 Introduction
  2. 2 Acknowledgements
  3. 3 Takeaways
  4. 4 Roadmap
  5. 5 Example
  6. 6 Examples
  7. 7 Ensemble solvers
  8. 8 Motivation example
  9. 9 Premise
  10. 10 Semistructured Reasoning
  11. 11 Two Puzzles
  12. 12 Relations
  13. 13 Tables
  14. 14 How we get the tables
  15. 15 Putting it all together
  16. 16 Framework
  17. 17 Support Graph
  18. 18 Constraints
  19. 19 Semantic constraints
  20. 20 Experiments
  21. 21 Questions
  22. 22 PMI
  23. 23 Scaling
  24. 24 Summary
  25. 25 Contact
  26. 26 Multiple Choice
  27. 27 Automatic explanation generation
  28. 28 Automatic parameter tuning
  29. 29 Knowledge graphs
  30. 30 Schema generation
  31. 31 Knowledge expansion
  32. 32 Multiple questions
  33. 33 Science corpus
  34. 34 Diagram questions

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