Yangbin Chen

Computer Science

1. Semisupervised Learning 100%
2. Extractive Summarization 100%
3. Meta-Learning 91%
4. Learning Approach 62%
5. Few-Shot Learning 60%
6. Learning Algorithm 55%
7. Adversarial Example 50%
8. Response Generation 50%
9. Speaker Verification 50%
10. Abstractive Summarization 50%
11. Training Point 50%
12. Learning Experiences 50%
13. Search Technique 50%
14. Massive Amount 50%
15. Big Data 50%
16. Depressed Patient 50%
17. Clinical Interview 50%
18. Training Sample 33%
19. Learning Resource 33%
20. On-Line Education 33%
21. Supervised Learning 28%
22. Frequency Response 25%
23. Dynamic Pressure 25%
24. Recorded Information 25%
25. Multimodal Feature Fusion 25%
26. Experimental Result 22%
27. Nonlinear Mapping 16%
28. Metric Space 16%
29. Conversion Rate 16%
30. Convolutional Neural Network 16%
31. Regularization Method 16%
32. Local Neighborhood 16%
33. Learning Technology 16%
34. Evaluation Methodology 16%
35. Synthetic Data 16%
36. Data Distribution 16%
37. Electronic Learning 16%
38. Spatial Transformation 12%
39. Learning Problem 12%
40. Transfer Learning 10%
41. Classification Task 10%
42. Training Data 10%
43. Initializers 10%
44. Regularization Term 6%
45. Classification Models 6%
46. Unlabeled Data 6%
47. Generalization Performance 6%