Transfer Learning

Transfer Learning by Florian Gatzlaff

1. Inductive Transfer Learning

2. Instance-based transfer

3. Self-taught Learning

4. Weighting

5. Sampling

6. Two-staged Adaptation

7. One-staged Adaptation

8. Dissimilarity of Domains

9. Maximum Mean Discrepancy

10. Jensen-Shannon Divergence

11. Kullback-Leibler Divergence

12. Bregman Divergence

13. Homogenous Transfer Learning

14. Heterogenous Transfer Learning

15. Huang et al. 2006; "Correcting Sample Selection Bias by Unlabeled Data"

16. Chattopadhyay et al. 2011; "Multi-Source Domain Adaptation and its application to early detection of fatigue"

17. Jiang et al.; "Instance weighting for Domain Adapation in NLP"

18. Dai et al. 2007; "Boosting for transfer learning"

19. Yao et al. 2010; "Boosting for transfer learning with multiple sources"

20. Wasserstein Distance

21. Gong et al. 2012; "Geodesic Flow Kernel for Unsupervised Domain Adaptation"

22. Sun et al. 2016; "Return of Stacked Feature Vector"

23. Balanced distribution Adaptation

24. Joint Distribution Adaptation

25. Adaptation regularization-based transfer learning

26. Wang et al. 2019; "Instance-based Deep Transfer Learning"

27. Glorot et al. 2011; "Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach"

28. Asgarian et al. 2018; "Hybrid Instance-based Transfer Learning"

29. Sun et al. 2011; "A Two-Stage Weighting Framework for Multi-Source Domain Adaptation "

30. Sugiyama et al. 2008; "Direct Importance Estimation for Covariate Shift Adaptation"

31. Cai et al. 2019; "Probabilistic Wind Power Forecasting Approach via Instance-Based Transfer Learning Embedded Gradient Boosting Decision Trees"

32. Xia et al. 2013; "Feature Ensemble plus Sample Selection: Domain Adaptation for Sentiment Classification"

33. Daumé III 2007; "Frustraitingly easy domain adapation"

34. Liao et al. 2005; "Logistic Regression with an auxiliary data source"

35. Transductive Transfer Learning

36. Unsupervised Transfer Learning

37. Feature-based transfer

38. Parameter-based transfer

39. Relational-based transfer

40. Multi-Task Learning

41. Domain Adaptation

42. Sample Selection Bias/ Covariate Shift

43. Augmentation

44. Reduction

45. Alignment

46. Regularization frameworks

47. Hierarchical Gaussian frameworks

48. statistical relational learning techniques

49. Negative Transfer

50. Bounds of Learning

51. Dissimilarity of Tasks

52. bipartite graph relations

53. bayesian relationship

54. Pan et al. 2008; "Transfer Leraning via Dimensionality Reduction"

55. Long et al. 2013; "Transfer Feature Learning with Joint Distribution Adaptation"

56. Symmetric Transformation

57. Asymmetric Transformation

58. Blitzer et al. 2006; "Domain Adaptation with structural correspondence learning"

59. Pan et al. 2010; "Transfer Component Analysis"

60. Sindhwani et al. 2006; "Large Scale Semi-supervised Linear SVMs"

61. Evgeniou et al. 2007; "Multi-Task Feature Learning"

62. Shi et al. 2010; "Transfer Learning on heterogenous feature spaces via spectral transformation"

63. Zhu et al. 2017; Unpaired Image-to-Image Translation using cycle-consistent Adversarial Networks

64. Kolmogorov Complexity

65. Regularization Framework for Task Correlation

66. Wang et al. 2009; "Manifold Alignment without correspondence"

67. Pan et al. 2010; "Cross-domain sentiment classification via spectral feature alignment"

68. Feuz et al. 2014; "Transfer Learning across Feature-Rich Heterogeneous Feature Spaces via Feature Space Remapping"

69. Duan et al. 2012; "Domain Adaptation from Multiple Sources: A domain-dependent regularization approach"

70. Afridi et al. 2018; "On Automated Source Selection for Transfer Learning in Convolutional Neural Networks"

71. Gao et al. 2008; "Knowledge Transfer via multiple model local structure mapping"

72. Williams et al.; "Multi-task Gaussian Process Prediction"

73. Evgeniou et al, 2004; "Regularized multi-task learning"

74. Mihalkova et al. 2008; "Transfer Learning by Mapping with Minimal Target Data"

75. Li et al. 2012; "Cross-Domain co-extraction of Sentiment and Topic Lexicons"

76. Mihalkova et al. 2007; "Mapping and Revising Markov Logic Networks for Transfer Learning"

77. Pan et al. 2010; "Cross-Domain Sentiment Classification via Spectral Feature Alignment"