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cs.LO2024★ 2 cited
SUBMASSIVE: Resolving Subclass Cycles in Very Large Knowledge Graphs
Shuai Wang, Peter Bloem, Joe Raad +1
Large knowledge graphs capture information of a large number of entities and their relations. Among the many relations they capture, class subsumption assertions are usually presen…
cs.LG2024
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases
David W. Romero
The emergence of Deep Learning has marked a profound shift in machine learning, driven by numerous breakthroughs achieved in recent years. However, as Deep Learning becomes increas…
cs.AI2024★ 3 cited
Optimisation in Neurosymbolic Learning Systems
Emile van Krieken
Neurosymbolic AI aims to integrate deep learning with symbolic AI. This integration has many promises, such as decreasing the amount of data required to train a neural network, imp…