Transferability and Hardness of Supervised Classification Tasks

  title={Transferability and Hardness of Supervised Classification Tasks},
  author={A. Tran and Cuong V Nguyen and Tal Hassner},
  journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
We propose a novel approach for estimating the difficulty and transferability of supervised classification tasks. Unlike previous work, our approach is solution agnostic and does not require or assume trained models. Instead, we estimate these values using an information theoretic approach: treating training labels as random variables and exploring their statistics. When transferring from a source to a target task, we consider the conditional entropy between two such variables (i.e., label… 

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