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- Main Results
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Classroom Contents
Training More Effective Learned Optimizers, and Using Them to Train Themselves - Paper Explained
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- 1 - Intro & Outline
- 2 - From Hand-Crafted to Learned Features
- 3 - Current Optimization Algorithm
- 4 - Learned Optimization
- 5 - Optimizer Architecture
- 6 - Optimizing the Optimizer using Evolution Strategies
- 7 - Task Dataset
- 8 - Main Results
- 9 - Implicit Regularization in the Learned Optimizer
- 10 - Generalization across Tasks
- 11 - Scaling Up
- 12 - The Learned Optimizer Trains Itself
- 13 - Pseudocode
- 14 - Broader Impact Statement
- 15 - Conclusion & Comments
