Out of distribution reasoning by weakly-supervised disentangled logic variational autoencoder

• Main Authors: Rahiminasab, Zahra, Yuhas, Michael, Easwaran, Arvind
• Other Authors: College of Computing and Data Science
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Out-of-distribution reasoning; Weakly-supervised disentanglement
• Online Access: https://hdl.handle.net/10356/178684
• Institution: Nanyang Technological University

Out-of-distribution (OOD) detection, i.e., finding test samples derived from a different distribution than the training set, as well as reasoning about such samples (OOD reasoning), are necessary to ensure the safety of results generated by machine learning models. Recently there have been promising...