Integrating domain knowledge: using hierarchies to improve deep classifiers

17 November 2018

Papers citing "Integrating domain knowledge: using hierarchies to improve deep classifiers"

12 / 12 papers shown

Title
Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval A. Venkataramanan Martin Laviale C´edric Pradalier 17 1 0 16 Aug 2023
TaxoKnow: Taxonomy as Prior Knowledge in the Loss Function of Multi-class Classification Mohsen Pourvali Yao Meng Chen Sheng Yangzhou Du 20 0 0 24 May 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 43 11 0 10 Mar 2023
Learning Hierarchy Aware Features for Reducing Mistake Severity Ashima Garg Depanshu Sani Saket Anand 19 19 0 26 Jul 2022
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP) A. Vaswani Gaurav Aggarwal Praneeth Netrapalli N. Hegde 34 4 0 17 Jun 2022
Loss Functions for Classification using Structured Entropy B. Lucena 26 3 0 14 Jun 2022
Computing Class Hierarchies from Classifiers Kai Kang Fangzhen Lin 13 0 0 02 Dec 2021
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges Björn Barz Joachim Denzler 41 7 0 16 Aug 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 187 690 0 22 Apr 2021
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks Shyamgopal Karthik Ameya Prabhu P. Dokania Vineet Gandhi 14 22 0 01 Apr 2021
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge C. Brust Björn Barz Joachim Denzler NoLa 24 5 0 13 Oct 2020
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 34 132 0 19 Dec 2019