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Peter Cho-Ho Lam

2 accepted papers

2021

Finding Representative Interpretations on Convolutional Neural Networks

ICCV 2021poster

Interpreting the decision logic behind effective deep convolutional neural networks (CNN) on images complements the success of deep learning models. However, the existing methods can only interpret some specific decision logic on individual or a small number of images. To facilitate human understand…

Cited by 11PDFScholar
2021

Robust Counterfactual Explanations on Graph Neural Networks

NeurIPS 2021poster

Massive deployment of Graph Neural Networks (GNNs) in high-stake applications generates a strong demand for explanations that are robust to noise and align well with human intuition. Most existing methods generate explanations by identifying a subgraph of an input graph that has a strong correlation…

Cited by 139SourcePDFScholar