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RESQUE: Qu...
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Image Credit: Arxiv

RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability

  • RESQUE is a predictive quantifier that estimates the retraining cost of a model to distributional shifts or change of tasks.
  • It provides a concise index for estimating the resources required for retraining the model.
  • Experiments demonstrate that RESQUE has a strong correlation with various retraining measures such as epochs, gradient norms, and parameter changes.
  • RESQUE enables users to make informed decisions for cost-effective and sustainable retraining options, reducing the model's environmental footprint.

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