Authors:
(1) Sanchit Sinha, University of Virginia ([email protected]);
(2) Guangzhi Xiong, University of Virginia ([email protected]);
(3) Aidong Zhang, University of Virginia ([email protected]).
Table of Links
3 Methodology and 3.1 Representative Concept Extraction
3.2 Self-supervised Contrastive Concept Learning
3.3 Prototype-based Concept Grounding
3.4 End-to-end Composite Training
4 Experiments and 4.1 Datasets and Networks
4.3 Evaluation Metrics and 4.4 Generalization Results
4.5 Concept Fidelity and 4.6 Qualitative Visualization
3.3 Prototype-based Concept Grounding
Concept Fidelity Regularization. Concept fidelity attempts to enforce the similarity of concepts through a similarity measure s(·, ·) of data instances from the same class in the same domain. Formally,
This paper is available on arxiv under CC BY 4.0 DEED license.
