Automated Detection of Drift in Deep Learning Based Classifiers Performance Using Network Embeddings-Reference-Cited by-同舟云学术

Automated Detection of Drift in Deep Learning Based Classifiers Performance Using Network Embeddings

Published:2020 Issue: Volume: Page:97-109
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Dube Parijat,Farchi Eitan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-62144-5_8

Reference17 articles.

1. Breck, E., Cai, S., Nielsen, E., Salib, M., Sculley, D.: What’s your ml test score? A rubric for ml production systems. In: Reliable Machine Learning in the Wild - NIPS 2016 Workshop (2016)

2. Deng, J. and Dong, W., Socher, R., Li, L.J.L.K., FeiFei, L.: ImageNet: a large-scale hierarchical image database. In: IEEE Conference on CVPR (2009)

3. Egloff, D.: Monte Carlo algorithms for optimal stopping and statistical learning. Ann. Appl. Probab. 15(2), 1396–1432 (2005). http://www.jstor.org/stable/30038358

4. Gretton, A., Borgwardt, K.M., Rasch, M.J., Schölkopf, B., Smola, A.: A Kernel two-sample test. J. Mach. Learn. Res. 13, 723–773 (2012). http://dl.acm.org/citation.cfm?id=2188385.2188410

5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on CVPR (2016)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A statistical approach to improve CNN classification accuracy;2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR);2023-06-05

2. Detection and Quantization of Data Drift in Image Classification Neural Networks;2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR);2023-06-05

3. Task-Sensitive Concept Drift Detector with Constraint Embedding;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05