4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
TaxoKnow: Taxonomy as Prior Knowledge in the Loss Function of Multi-class Classification
Mohsen Pourvali, Yao Meng, Chen Sheng +1
In this paper, we investigate the effectiveness of integrating a hierarchical taxonomy of labels as prior knowledge into the learning algorithm of a flat classifier. We introduce t…
cs.CV2023
Epistemic Graph: A Plug-And-Play Module For Hybrid Representation Learning
Jin Yuan, Yang Zhang, Yangzhou Du +4
In recent years, deep models have achieved remarkable success in various vision tasks. However, their performance heavily relies on large training datasets. In contrast, humans exh…
cs.LG2020★ 4 cited
An Extension of LIME with Improvement of Interpretability and Fidelity
Sheng Shi, Yangzhou Du, Wei Fan
While deep learning makes significant achievements in Artificial Intelligence (AI), the lack of transparency has limited its broad application in various vertical domains. Explaina…