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
Grants1
| Name | Recipient | Amount | Funder | Date |
|---|---|---|---|---|
| FAR.AI — AI Interpretability Research | FAR AI | $100K | Coefficient Giving | 2023-03 |
Funding by Funder
| Funder | Grants | Total Amount |
|---|---|---|
| Coefficient Giving | 1 | $100K |
Tags
interpretabilityarchitecturedesign