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Effective Version Space Reduction for Convolutional Neural Networks (bibtex)
Effective Version Space Reduction for Convolutional Neural Networks (bibtex)
by J Liu, I Chiotellis, R Triebel and D Cremers
Reference:
Effective Version Space Reduction for Convolutional Neural Networks (J Liu, I Chiotellis, R Triebel and D Cremers), In European Conference on Machine Learning and Data Mining (ECML-PKDD), 2020. ([arxiv])
Bibtex Entry:
@string{ecml="European Conference on Machine Learning and Data Mining (ECML-PKDD)"}
@inproceedings{liu2020effective,
 title = {Effective Version Space Reduction for Convolutional Neural Networks},
 author = {J Liu and I Chiotellis and R Triebel and D Cremers},
 journal = {arXiv preprint arXiv:2006.12456},
 year = {2020},
 booktitle = {European Conference on Machine Learning and Data Mining (ECML-PKDD)},
 keywords = {deep learning, active learning, convolutional neural networks},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group SRL Group