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@inproceedings{chiotellis2016csdlmnn,
author = {I. Chiotellis and R. Triebel and T. Windheuser and D. Cremers},
title = {Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2016},
month = {October},
keywords = {Geometry Processing},
}
@inproceedings{sahand2016drive,
author = {S. Sharifzadeh and I. Chiotellis and R. Triebel and D. Cremers},
title = {Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks},
year = {2016},
publisher = {NIPS Workshops},
month = {December},
keywords = {autonomous driving, reinforcement learning, artificial intelligence, DQN, deep learning},
}
@inproceedings{chiotellis2018ilp,
author = {I. Chiotellis and F. Zimmermann and D. Cremers and R. Triebel},
title = {Incremental Semi-Supervised Learning from Streams for Object Classification},
booktitle = {International Conference on Intelligent Robots and Systems (IROS)},
address = {Madrid, Spain},
year = {2018},
month = {Oct.},
}
@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},
}
@article{chiotellis2020noge,
title = {Neural Online Graph Exploration},
author = {I Chiotellis and D Cremers},
year = {2020},
journal = {arXiv preprint arXiv:2012.03345},
eprint = {2012.03345},
archiveprefix = {arXiv},
primaryclass = {cs.LG},
keywords = {deep learning, exploration, graph neural networks, learning on graphs, artificial intelligence},
}