Learning with Small Data - Part 2

Learning with Small Data - Part 2

Association for Computing Machinery (ACM) via YouTube Direct link

Intro

1 of 13

1 of 13

Intro

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Learning with Small Data - Part 2

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  1. 1 Intro
  2. 2 Predict a ball's trajectory
  3. 3 Combine machine learning model and domain knowledge model
  4. 4 Pre-processing and post-processing
  5. 5 Residual modeling: Predicting the gap between
  6. 6 Example: predict the temperature of different places on the earth?
  7. 7 Example: predicting the temperature
  8. 8 Adding residual works well!
  9. 9 Predicted results with different models
  10. 10 Regularization: Using domain knowledge as regularization
  11. 11 Example: Incorporating Energy Conservation
  12. 12 Extension: utilizing unlabeled data
  13. 13 Extension: Incorporating Energy Conservation

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