4 citations · 8 across the 4 of their papers we have counts for
4 papers
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…
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…
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Jin Yuan, Feng Hou, Yangzhou Du +4
Domain adaptation (DA) tries to tackle the scenarios when the test data does not fully follow the same distribution of the training data, and multi-source domain adaptation (MSDA)…
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…