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Found 5 papers, 2 papers with code
ShaRP: Shape-Regularized Multidimensional Projections
Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data.
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
Multi-track time series data are generated on an unprecedented scale due to increased sensors and data storage.
FDive: Learning Relevance Models using Pattern-based Similarity Measures
The detection of interesting patterns in large high-dimensional datasets is difficult because of their dimensionality and pattern complexity.
Debugging Sequence-to-Sequence Models with Seq2Seq-Vis
Neural attention-based sequence-to-sequence models (seq2seq) (Sutskever et al., 2014; Bahdanau et al., 2014) have proven to be accurate and robust for many sequence prediction tasks.
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
In this work, we present a visual analysis tool that allows interaction with a trained sequence-to-sequence model through each stage of the translation process.
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