Interpretable-Deep-Learning
Collection of recent ideas on interpretating deep learning.
2012
- 2012-JMLR-Algorithms for learning kernels based on centered alignment
2016
- 2016.10-Understanding intermediate layers using linear classifier probes
2019
- 2019-ICML-Similarity of neural network representations revisited
2021