Completed
- Intro & Overview
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Classroom Contents
Deep Ensembles: A Loss Landscape Perspective
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- 1 - Intro & Overview
- 2 - Deep Ensembles
- 3 - The Solution Space of Deep Networks
- 4 - Bayesian Models
- 5 - The Ensemble Effect
- 6 - Experiment Setup
- 7 - Solution Equality While Training
- 8 - Tracking Multiple Trajectories
- 9 - Similarity of Independent Solutions
- 10 - Comparison to Baselines
- 11 - Weight Space Cross-Sections
- 12 - Diversity vs Accuracy
- 13 - Comparing Ensembling Methods
- 14 - Conclusion & Comments
