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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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},
}
Powered by bibtexbrowser
members:chiotell

Table of Contents

Find me on github.

Research Interests

I am interested in Artificial Intelligence, Machine Learning and Robotics. In particular, I think a lot about

  • metric learning - because everything is relative,
  • space partitioning - because you have to divide to conquer,
  • reinforcement learning - because you have to act if you want to change the future.

For the last part, I consider how agents integrate information over time, reason and make intelligent decisions.

Brief Bio

I received my B.Sc. in Computer Science from the Technical Educational Institute of Athens in 2012 and my M.Sc. in Computer Science (Robotics, Cognition, Intelligence) from the Technical University of Munich in 2015. Since October 2015, I am a PhD student in the Computer Vision Research Group, headed by Prof. Dr. Daniel Cremers at TUM.

Publications

Teaching