Temporal and Object Quantification Networks

Temporal and Object Quantification Networks

<jats:p>We present Temporal and Object Quantification Networks (TOQ-Nets), a new class of neuro-symbolic networks with a structural bias that enables them to learn to recognize complex relational-temporal events. This is done by including reasoning layers that implement finite-domain quantific...

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Bibliographic Details
Main Authors: Mao, Jiayuan, Luo, Zhezheng, Gan, Chuang, Tenenbaum, Joshua B, Wu, Jiajun, Kaelbling, Leslie Pack, Ullman, Tomer D
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:English
Published: International Joint Conferences on Artificial Intelligence 2022
Online Access:https://hdl.handle.net/1721.1/143777

Internet

https://hdl.handle.net/1721.1/143777

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