PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning. (arXiv:2207.00433v1 [cs.CV])

Semantic image interpretation can vastly benefit from approaches that combine
sub-symbolic distributed representation learning with the capability to reason
at a higher level of abstraction. Logic Tensor Networks (LTNs) are a class of
neuro-symbolic systems based on a differentiable, first-order logic grounded
into a deep neural network. LTNs replace the classical concept of training set
with a knowledge base of fuzzy logical axioms. By defining a set of
differentiable operators to approximate the role of connectives, predicates,
functions and quantifiers, …

arxiv cv learning logic networks tensor zero shot learning