Randomly sample supertypes during training
randomly-sample-supertypes-during-training · always_apply: yes
Content
During training, randomly select a non-empty subset of τ(v) (the full supertype set) for each variable. This acts as dropout over the type lattice and ensures all known types in the lattice are trained. Use the full τ(v) at inference time.
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- Slug:
randomly-sample-supertypes-during-training- Always apply:
- Yes
- Created:
- May 20, 2026
- Updated:
- May 20, 2026
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