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Transparent Architectures

Interpretabilityemerging

Designing neural network architectures that are inherently more interpretable, as opposed to post-hoc interpretation of opaque models.

Organizations
3
Grants
1
Total Funding
$100K
Cluster: Interpretability
Parent Area: Interpretability

Tags

interpretabilityarchitecturedesign

Grants1

NameRecipientAmountFunderDate
FAR.AI — AI Interpretability ResearchFAR AI$100KCoefficient Giving2023-03

Funding by Funder

FunderGrantsTotal Amount
Coefficient Giving1$100K