Pruning-aware merging for efficient multitask inference
Many mobile applications demand selective execution of multiple correlated deep learning inference tasks on resource-constrained platforms. Given a set of deep neural networks, each pre-trained for a single task, it is desired that executing arbitrary combinations of tasks yields minimal computation...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6804 https://ink.library.smu.edu.sg/context/sis_research/article/7807/viewcontent/kdd21_he.pdf |
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| Institution: | Singapore Management University |
| Language: | English |