Constructing Global Coherence Representations: Identifying Interpretability and Coherences of Transformer Attention in Time Series Data
| Autor(en): | Schwenke, Leonid Atzmueller, Martin |
Stichwörter: | Computer science; Transformer; Interpretability; Machine learning; Time series; Automatic summarization; Pattern recognition (psychology); Series (stratigraphy); Natural language processing; Artificial intelligence; Coherence (philosophical gambling strategy) | Erscheinungsdatum: | 2021 | Herausgeber: | IEEE | Journal: | ieee international conference on data science and advanced analytics | Startseite: | 1 | Seitenende: | 12 | DOI: | https://doi.org/10.1109/dsaa53316.2021.9564126 |
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