Compress and Compare : Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
To deploy machine learning models on-device, practitioners use compression algorithms to shrink and speed up models while maintaining their high-quality output. A critical aspect of compression in practice is model comparison, including tracking many compression experiments, identifying subtle chang...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 10. Sept.
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| 1. Verfasser: |
Boggust, Angie
(VerfasserIn) |
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| Weitere Verfasser: |
Sivaraman, Venkatesh,
Assogba, Yannick,
Ren, Donghao,
Moritz, Dominik,
Hohman, Fred |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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