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Benchmark of DNN Model Search at Deployment Time
[article]
2022
arXiv
pre-print
Deep learning has become the most popular direction in machine learning and artificial intelligence. However, the preparation of training data, as well as model training, are often time-consuming and become the bottleneck of the end-to-end machine learning lifecycle. Reusing models for inferring a dataset can avoid the costs of retraining. However, when there are multiple candidate models, it is challenging to discover the right model for reuse. Although there exist a number of model sharing
arXiv:2206.00188v1
fatcat:3tawlkzhwzebhbojr76f6uuuze