BibTex format
@inproceedings{De:2025,
author = {De, Olim Gaul G and Gould, A and Kori, A and Toni, F},
pages = {36--49},
title = {Object-centric case-based reasoning via argumentation},
year = {2025}
}
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - We introduce Slot Attention Argumentation for Case-Based Reasoning (SAA-CBR), a novel neuro-symbolic pipeline for image classification that integrates object-centric learning via a neural Slot Attention (SA) component with symbolic reasoning conducted by Abstract Argumentation for Case-Based Reasoning (AA-CBR). We explore novel integrations of AA-CBR with the neural component, including feature combination strategies, casebase reduction via representative samples, novel count-based partial orders, a One-Vs-Rest strategy for extending AA-CBR to multi-class classification, and an application of Supported AA-CBR, a bipolar variant of AA-CBR. We demonstrate that SAA-CBR is an effective classifier on the CLEVR-Hans datasets, showing competitive performance against baseline models.
AU - De,Olim Gaul G
AU - Gould,A
AU - Kori,A
AU - Toni,F
EP - 49
PY - 2025///
SN - 1613-0073
SP - 36
TI - Object-centric case-based reasoning via argumentation
ER -
