Active Learning for Convolutional Neural Networks: A Core-Set Approach

2018 inproceedings sener2018coreset ⚠ Needs review - 1 field differ

Fields with differences: venue. Compare local vs external BibTeX below.

Authors

Ozan Sener, Silvio Savarese

Venue

International Conference on Learning Representations (ICLR)

Abstract

Defines active learning as core-set selection, choosing points such that a model trained on the subset is competitive for remaining data. Provides theoretical bounds via k-Center problem.

BibTeX

Local Entry

@inproceedings{sener2018coreset,
  title = {Active Learning for Convolutional Neural Networks: A Core-Set Approach},
  author = {Ozan Sener and Silvio Savarese},
  year = {2018},
  booktitle = {International Conference on Learning Representations (ICLR)},
  url = {https://arxiv.org/abs/1708.00489},
  abstract = {Defines active learning as core-set selection, choosing points such that a model trained on the subset is competitive for remaining data. Provides theoretical bounds via k-Center problem.}
}

From AUTO:DBLP

@inproceedings{sener2018coreset,
  author       = {Ozan Sener and
                  Silvio Savarese},
  title        = {Active Learning for Convolutional Neural Networks: {A} Core-Set Approach},
  booktitle    = {6th International Conference on Learning Representations, {ICLR} 2018,
                  Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings},
  publisher    = {OpenReview.net},
  year         = {2018},
  url          = {https://openreview.net/forum?id=H1aIuk-RW},
  timestamp    = {Thu, 25 Jul 2019 14:25:55 +0200},
  biburl       = {https://dblp.org/rec/conf/iclr/SenerS18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}