An information-theoretic approach to improving the robustness of deep learning architectures

Engineering & Materials Science

1. Deep neural networks 100%
2. Deep learning 92%
3. Signal processing 74%
4. Machine learning 22%
5. Cramer-Rao bounds 13%
6. Wearable sensors 12%
7. Information theory 11%
8. Data streams 10%
9. Cost functions 9%
10. Large scale systems 8%
11. Entropy 8%
12. Personnel 7%
13. Students 7%
14. Health 7%
15. Set theory 6%
16. Monitoring 5%
17. Sensors 5%