2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.HC2023★ 2 cited
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations
Tong Steven Sun, Yuyang Gao, Shubham Khaladkar +4
The local explanation provides heatmaps on images to explain how Convolutional Neural Networks (CNNs) derive their output. Due to its visual straightforwardness, the method has bee…
cs.LG2023
Testing the Channels of Convolutional Neural Networks
Kang Choi, Donghyun Son, Younghoon Kim +1
Neural networks have complex structures, and thus it is hard to understand their inner workings and ensure correctness. To understand and debug convolutional neural networks (CNNs)…
cs.DB2019
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion
Woohwan Jung, Younghoon Kim, Kyuseok Shim
Existing works for truth discovery in categorical data usually assume that claimed values are mutually exclusive and only one among them is correct. However, many claimed values ar…