•1 min read•from Machine Learning
Visual Perceptual to Conceptual First-Order Rule Learning Networks [R]
I'm genuinely curious, because I've been seeing some papers come out recently from the ILP world, like referenced above as well as others [1, 2]. It seems they're busy cooking.
In the main linked paper they're tackling pure image datasets and predicate induction which I've previously read was very difficult for ILP. They're claiming strong performance.
Could ILP ever viably compete in DL/NN dominated spaces like machine vision, stable?
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