Towards robust interpretability with self-explaining neural networks
© 2018 Curran Associates Inc.All rights reserved. Most recent work on interpretability of complex machine learning models has focused on estimating a posteriori explanations for previously trained models around specific predictions. Self-explaining models where interpretability plays a key role alre...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2021
|
| Online Access: | https://hdl.handle.net/1721.1/137669 |