ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels
- Submitting institution
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University of Cambridge
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1864
- Type
- E - Conference contribution
- DOI
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10.1145/3109761.3109804
- Title of conference / published proceedings
- IML '17 Proceedings of the 1st International Conference on Internet of Things and Machine Learning
- First page
- 1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- October
- Year of publication
- 2017
- URL
-
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- Supplementary information
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-
- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- State of the art results, used as the baseline in subsequent work by other (international) groups (e.g. https://ieeexplore.ieee.org/abstract/document/8711260).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -