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Found 4 papers, 1 papers with code
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation
Such interpretability can be highly advantageous in applications requiring transparency of model outputs or where users desire to inject prior knowledge of time-series patterns into the generative model.
Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis
In (Yang et al. 2016), a hierarchical attention network (HAN) is created for document classification.
An Annotated Corpus of Relational Strategies in Customer Service
We create and release the first publicly available commercial customer service corpus with annotated relational segments.
Rate-Agnostic (Causal) Structure Learning
That is, these algorithms all learn causal structure without assuming any particular relation between the measurement and system timescales; they are thus rate-agnostic.
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