Learning Hierarchy Aware Features for Reducing Mistake Severity

26 July 2022

Papers citing "Learning Hierarchy Aware Features for Reducing Mistake Severity"

13 / 13 papers shown

Title
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks Erik Wallin Fredrik Kahl Lars Hammarstrand OODD 52 0 0 27 Mar 2025
HELM: Hierarchical Encoding for mRNA Language Modeling Mehdi Yazdani-Jahromi Mangal Prakash Tommaso Mansi Artem Moskalev Rui Liao 87 2 0 13 Mar 2025
Learning and Evaluating Hierarchical Feature Representations Depanshu Sani Saket Anand 45 0 0 10 Mar 2025
Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts Tong Liang Jim Davis VLM 96 0 0 04 Mar 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy Mingrong Gong Chaoqi Chen Qingqiang Sun Yue Wang Hui Huang OODD 92 1 0 22 Dec 2024
Harnessing Superclasses for Learning from Hierarchical Databases Nicolas Urbani Sylvain Rousseau Yves Grandvalet Leonardo Tanzi 63 1 0 25 Nov 2024
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng Sixian Du M. Yamada Han Zhao OT 36 0 0 04 Oct 2024
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 23 3 0 26 Oct 2023
Hyperbolic Random Forests Lars Doorenbos Pablo Márquez-Neila Raphael Sznitman Pascal Mettes 16 5 0 25 Aug 2023
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers Alan Perotti Simone Bertolotto Eliana Pastor Andre' Panisson 13 3 0 01 Aug 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao W. Wang Yifan Zhang 43 6 0 26 Apr 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 30 10 0 10 Mar 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 19 5 0 01 Feb 2023