Visual Interaction with Deep Learning Models through Collaborative Semantic Inference
Automation of tasks can have critical consequences when humans lose agency over decision processes. Deep learning models are particularly susceptible since current black-box approaches lack explainable reasoning. We argue that both the visual interface and model structure of deep learning systems ne...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 26(2020), 1 vom: 19. Jan., Seite 884-894
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| 1. Verfasser: |
Gehrmann, Sebastian
(VerfasserIn) |
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| Weitere Verfasser: |
Strobelt, Hendrik,
Kruger, Robert,
Pfister, Hanspeter,
Rush, Alexander M |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't |
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