Relational Learning with Variational BayesDownload PDF

29 Sept 2021, 00:35 (edited 03 Feb 2022)ICLR 2022 PosterReaders: Everyone
  • Keywords: Relational learning, psychology, unsupervised learning, variational inference, probabilistic graphical model.
  • Abstract: In psychology, relational learning refers to the ability to recognize and respond to relationship among objects irrespective of the nature of those objects. Relational learning has long been recognized as a hallmark of human cognition and a key question in artificial intelligence research. In this work, we propose an unsupervised learning method for addressing the relational learning problem where we learn the underlying relationship between a pair of data irrespective of the nature of those data. The central idea of the proposed method is to encapsulate the relational learning problem with a probabilistic graphical model in which we perform inference to learn about data relationship and other relational processing tasks.
  • One-sentence Summary: Propose an unsupervised learning method for addressing the relational learning problem where we learn the underlying relationship between a pair of data irrespective of the nature of those data.
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