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Found 5 papers, 4 papers with code
ParaDime: A Framework for Parametric Dimensionality Reduction
ParaDime is a framework for parametric dimensionality reduction (DR).
InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level
Classification is one of the most important supervised machine learning tasks.
Projective Latent Interventions for Understanding and Fine-tuning Classifiers
We present Projective Latent Interventions (PLIs), a technique for retraining classifiers by back-propagating manual changes made to low-dimensional embeddings of the latent space.
ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths
In problem-solving, a path towards solutions can be viewed as a sequence of decisions.
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
The confusion matrix is an established way for visualizing these class errors, but it was not designed with temporal or comparative analysis in mind.
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