211 citations · 576 across the 18 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.HC2021★ 6 cited
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
Zhenge Zhao, Panpan Xu, Carlos Scheidegger +1
The interpretation of deep neural networks (DNNs) has become a key topic as more and more people apply them to solve various problems and making critical decisions. Concept-based e…
cs.SD2021★ 2 cited
Unsupervised Discriminative Learning of Sounds for Audio Event Classification
Sascha Hornauer, Ke Li, Stella X. Yu +2
Recent progress in network-based audio event classification has shown the benefit of pre-training models on visual data such as ImageNet. While this process allows knowledge transf…