Limits of Transfer Learning

arXiv:2006.12694 · stat.ML, cs.AI, cs.LG · Submitted 2020-06-23 · Read on arXiv

stat.ML, cs.AI, cs.LG

Submitted: 2020-06-23

Updated: 2026-09-16

Comments: Presented at the Sixth International Conference on Machine Learning, Optimization, and Data Science (LOD 2020), July 19-23, 2020

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transfer Learning — 74× in this paper · explained in 10 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Loss Function — 3× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Driving Experience Transfer Method for End-to-End Control of Self-Driving Cars
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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