research
∙
02/07/2023
Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation
Concept Bottleneck Models (CBMs) first map raw input(s) to a vector of h...
share
research
∙
05/25/2022
Inductive Learning of Complex Knowledge from Raw Data
One of the ultimate goals of Artificial Intelligence is to learn general...
research
∙
06/24/2021
FF-NSL: Feed-Forward Neural-Symbolic Learner
Inductive Logic Programming (ILP) aims to learn generalised, interpretab...
research
∙
12/09/2020
NSL: Hybrid Interpretable Learning From Noisy Raw Data
Inductive Logic Programming (ILP) systems learn generalised, interpretab...
research
∙
04/26/2019