PyReason: Software for open world temporal logic
D Aditya, K Mukherji, S Balasubramanian… - ar** for improving interpretability of convolutional neural networks
Within the realm of deep learning, the interpretability of Convolutional Neural Networks
(CNNs), particularly in the context of image classification tasks, remains a formidable …
(CNNs), particularly in the context of image classification tasks, remains a formidable …
Shaped-Charge Learning Architecture for the Human–Machine Teams
In spite of great progress in recent years, deep learning (DNN) and transformers have strong
limitations for supporting human–machine teams due to a lack of explainability, information …
limitations for supporting human–machine teams due to a lack of explainability, information …
A differentiable first-order rule learner for inductive logic programming
Learning first-order logic programs from relational facts yields intuitive insights into the data.
Inductive logic programming (ILP) models are effective in learning first-order logic programs …
Inductive logic programming (ILP) models are effective in learning first-order logic programs …