research
∙
06/26/2023
Leveraging Task Structures for Improved Identifiability in Neural Network Representations
This work extends the theory of identifiability in supervised learning b...
share
research
∙
03/11/2023
Robust Learning from Explanations
Machine learning from explanations (MLX) is an approach to learning that...
research
∙
12/16/2022
Robust Explanation Constraints for Neural Networks
Post-hoc explanation methods are used with the intent of providing insig...
research
∙
11/29/2022
Towards More Robust Interpretation via Local Gradient Alignment
Neural network interpretation methods, particularly feature attribution ...
research
∙
02/06/2019
