1 code implementation • 26 Jul 2022 • Ashima Garg, Depanshu Sani, Saket Anand
In this paper, we propose a novel approach for learning Hierarchy Aware Features (HAF) that leverages classifiers at each level of the hierarchy that are constrained to generate predictions consistent with the label hierarchy.
1 code implementation • 30 Oct 2021 • Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand
Additionally, HIERMATCH is a generic-approach to improve any semisupervised learning framework, we demonstrate this using our results on recent state-of-the-art techniques MixMatch and FixMatch.
