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

• المؤلفون الرئيسيون: Rahiminasab, Zahra, Yuhas, Michael, Easwaran, Arvind
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Out-of-distribution reasoning; Weakly-supervised disentanglement
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/178684

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...