David Towers
Long-term Reproducibility for Neural Architecture Search
Towers, David; Forshaw, Matthew; Atapour-Abarghouei, Amir; McGough, A. Stephen
Authors
Matthew Forshaw
Dr Amir Atapour-Abarghouei amir.atapour-abarghouei@durham.ac.uk
Assistant Professor
A. Stephen McGough
Citation
Towers, D., Forshaw, M., Atapour-Abarghouei, A., & McGough, A. S. (in press). Long-term Reproducibility for Neural Architecture Search.
| Conference Name | IEEE/CVF Computer Vision and Pattern Recognition Conference Workshops |
|---|---|
| Conference Location | New Orleans, USA |
| Start Date | Jun 19, 2022 |
| End Date | Jun 20, 2022 |
| Acceptance Date | Jun 11, 2022 |
| Deposit Date | Jul 18, 2022 |
| Public URL | https://durham-repository.worktribe.com/output/1137286 |
| Related Public URLs | https://arxiv.org/abs/2207.04821 |
You might also like
Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
(2023)
Conference Proceeding
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network
(2023)
Journal Article
Predicting the Performance of a Computing System with Deep Networks
(2023)
Conference Proceeding
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip
(2022)
Conference Proceeding