From trivial representations to learning concepts in AI by exploiting unique data

Computer Science

1. Training Data 100%
2. Artificial Intelligence 60%
3. Neural Network 50%
4. Personal Information 50%
5. Training Model 50%
6. Knowledge Distillation 50%
7. Distributionally Robust Optimization 50%
8. Medical Imaging 50%
9. Image Synthesis 50%
10. Deep Learning Method 50%
11. Learning System 33%
12. Machine Learning 33%
13. Image Reconstruction 30%
14. Deep Neural Network 25%
15. External Entity 25%
16. Data Privacy 25%
17. Patient Information 25%
18. Neural Network Model 25%
19. Lower Performance 25%
20. Optimization Technique 25%
21. Learned Feature 25%
22. Developing Model 25%
23. Substantial Amount 25%
24. Diagnostic Accuracy 25%
25. Postprocessing Method 25%
26. Sensitive Domain 25%
27. Tuning Phase 25%
28. Medical Diagnosis 25%
29. Deep Learning Model 25%
30. Sensitive Attribute 25%
31. Classification Task 25%
32. Algorithmic Bias 25%
33. Training Dataset 25%
34. Disease Condition 25%
35. U-Net 10%
36. Image Quality 10%
37. Risk Minimization 10%
38. Unfairness 10%
39. Performance Model 10%
40. Demographic Characteristic 10%
41. Acquisition Time 10%
42. Unstructured Data 8%
43. Information Present 8%
44. Research Question 8%
45. Key Application 8%
46. Paradigm Shift 8%