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4: Can Neural Nets Learn the Same Model Twice?
Todays paper: Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility
and Double Descent from the Decision Boundary Perspective (https://arxiv.org/pdf/2203.08124.pdf)
Summary:
A discussion of reproducibility and double descent through visualizations of decision boundaries.
Highlights of the discussion:
- Relationship between model performance and reproducibility
- Which models are robust and reproducible
- How they calculate the various scores
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By Vahe Hagopian, Taka Hasegawa, Farrukh RahmanTodays paper: Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility
and Double Descent from the Decision Boundary Perspective (https://arxiv.org/pdf/2203.08124.pdf)
Summary:
A discussion of reproducibility and double descent through visualizations of decision boundaries.
Highlights of the discussion:
- Relationship between model performance and reproducibility
- Which models are robust and reproducible
- How they calculate the various scores