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Selective Prediction via Training Dynamics by sudheeshshetty92 is a document available to read on EtoBox.

What is Selective Prediction via Training Dynamics about?

The document presents a novel framework for Selective Prediction based on neural network training dynamics (SPTD), which monitors the instability of predictions from intermediate models during training to reject inputs likely to be predicted incorrectly. This approach allows for improved accuracy and utility trade-offs without requiring modifications to the model architecture or training objectives, making it applicable across various domains including classification, regression, and time series prediction.

Author

sudheeshshetty92

Language

EN