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