Princeton, DeepMind & NYU Research Distills Symbolic Representations of DL Models Using Inductive Biases | Synced
A team of researchers from Princeton, DeepMind and New York University have introduced a new method that extracts symbolic representations from deep learning models by introducing strong induction ...
Source: Synced | AI Technology & Industry Review
A team of researchers from Princeton, DeepMind and New York University have introduced a new method that extracts symbolic representations from deep learning models by introducing strong induction biases.