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
(Author),
Luo, Zhezheng
(Author),
Gan, Chuang
(Author),
Tenenbaum, Joshua B
(Author),
Wu, Jiajun
(Author),
Kaelbling, Leslie Pack
(Author),
Ullman, Tomer D
(Author) |
Format: | Article
|
Language: | English |
Published: |
International Joint Conferences on Artificial Intelligence,
2022-07-15T17:22:16Z.
|
Subjects: | |
Online Access: | Get fulltext
|