αILP: thinking visual scenes as differentiable logic programs

Deep neural learning has shown remarkable performance at learning representations for visual object categorization. However, deep neural networks such as CNNs do not explicitly encode objects and relations among them. This limits their success on tasks that require a deep logical understanding of vi...

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Vydáno v:	Machine learning Ročník 112; číslo 5; s. 1465 - 1497
Hlavní autoři:	Shindo, Hikaru, Pfanschilling, Viktor, Dhami, Devendra Singh, Kersting, Kristian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.05.2023 Springer Nature B.V
Témata:	Artificial Intelligence Artificial neural networks Computer Science Confounding (Statistics) Control Logic programming Logic programs Machine Learning Mechatronics Natural Language Processing (NLP) Neural networks Robotics Simulation and Modeling Special Issue on Learning and Reasoning 2022 Visual perception Object-centric learning Neuro-symbolic AI Inductive logic programming Differentiable reasoning
ISSN:	0885-6125, 1573-0565
On-line přístup:	Získat plný text
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