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Found 3 papers, 1 papers with code
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Classification models learn to generalize the associations between data samples and their target classes.
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
GraphQ provides a visual query interface with a query editor and a multi-scale visualization of the results, as well as a user feedback mechanism for refining the results with additional constraints.
Visualizing Classification Structure of Large-Scale Classifiers
We propose a measure to compute class similarity in large-scale classification based on prediction scores.
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