A theoretical framework for deep transfer learning

Keyphrases

• Adversary Model 100%
• PAC Learning 100%
• Random Model 100%
• Deep Transfer Learning 100%
• Transfer Learning 66%
• Transferability 33%
• Deep Learning 33%
• Binary Classification 33%
• VC-dimension 33%
• All-source 33%
• Sampling Distribution 33%
• Generalization Bounds 33%
• PAC-Bayesian 33%
• Target Concept 33%

Mathematics

• Transfer Learning 100%
• Bayesian 33%
• VC Dimension 33%
• Target Concept 33%
• Binary Classification 33%
• Sample Distribution 33%
• Deep Learning Method 33%

Psychology

• Learning Transfer 100%