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% generated by bibtexbrowser % % Encoding: UTF-8 @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}, }