Interactive Learning for Interpretable Visual Recognition via Semantic-Aware Self-Teaching Framework

Author:

Jiang Hao,Li Haowei,Chen Junhao,Wan Wentao,Wang Keze

Publisher

Springer Nature Singapore

Reference38 articles.

1. Alvarez-Melis, D. et al.: Towards robust interpretability with self-explaining neural networks. In: NIPS (2018)

2. Beckh, K., et al.: Explainable machine learning with prior knowledge: an overview. arXiv (2021)

3. Bychkov, D., et al.: Deep learning based tissue analysis predicts outcome in colorectal cancer. Sci. Rep. (2018)

4. Chen, C., et al.: This looks like that: deep learning for interpretable image recognition. Neural Inf. Process. Syst. (2019)

5. Chen, Z., et al.: Concept whitening for interpretable image recognition. Nat. Mach. Intell. (2020)

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