Babaiee, Z., Kiasari, P., Rus, D., & Grosu, R. (2024). We Need Far Fewer Unique Filters Than We Thought. In NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning. SciForDL’24, Vancouver, Canada.
E191-01 - Forschungsbereich Cyber-Physical Systems E056-17 - Fachbereich Trustworthy Autonomous Cyber-Physical Systems
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Published in:
NeurIPS 2024 Workshop on Scientific Methods for Understanding Deep Learning
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Date (published):
2024
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Event name:
SciForDL'24
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Event date:
15-Dec-2024
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Event place:
Vancouver, Canada
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Number of Pages:
9
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Peer reviewed:
Yes
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Keywords:
Filters; Convolutional Neural Networks; Deep Learning
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Project title:
Multimodale Werkzeuge der künstlichen Intelligenz zur Optimierung der Strahlentherapie bei Patienten mit Glioblastom: I 6605-B (FWF - Österr. Wissenschaftsfonds)
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Additional information:
https://openreview.net/pdf?id=RV8oJTkqkj
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Research Areas:
Computer Engineering and Software-Intensive Systems: 100%
