Technical Report

 

Proposed metrics for transfer learning Pubblico Deposited

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https://ir.library.oregonstate.edu/concern/technical_reports/st74cr803

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Abstract
  • Summary: Four proposed metrics: [1] average relative reduction in training time (sample size, number of training experiences) [2] jumpstart (initial advantage of transfer algorithm) [3] handicap (how long it takes the no-transfer algorithm to overcome the jumpstart) [4] asymptotic advantage (how much better the transfer learning algorithm does in the limit of large sample sizes)
  • Version 4
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Table of Contents
  • Shortcomings of Transfer Ratio -- Proposed Metrics -- Notation -- Learning Speedup and Relative Reduction -- Statistical Interpretation of Speedup -- Integrated Speedup -- Issues -- Partial Solution: Remove the Problem Regions -- There is Still a Problem -- Solution: Use Relative Reduction Instead -- One More Quantity of Interest -- Corner Cases -- Additional Notes -- Summary -- Relative Reduction vs. Transfer Ratio.
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