landmark paper in machine learning

A landmark paper in machine learning is a highly influential publication that introduces foundational theories, algorithms, or empirical results that significantly shape subsequent research and practice in the field.

Instances (1)

• “Learning representations by back-propagating errors”
  surface form: Learning representations by back-propagating errors