Flexible Neural Networks and the Frontiers of Meta-Learning

Flexible Neural Networks and the Frontiers of Meta-Learning

Simons Institute via YouTube Direct link

Experiments

10 of 10

10 of 10

Experiments

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Flexible Neural Networks and the Frontiers of Meta-Learning

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  1. 1 Intro
  2. 2 How can we enable agents to learn skills in the real world?
  3. 3 Example: Few-Shot Image Classification
  4. 4 The Meta-Learning Problem: The Mechanistic View
  5. 5 The Meta-Learning Problem: The Probabilistic View Supervised Learning
  6. 6 Few-Shot Learning
  7. 7 Optimization-Based Inference
  8. 8 Leverage data with previous objects to quickly adapt to new ones?
  9. 9 Practical instantiation of FTML
  10. 10 Experiments

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