publications

Conference Papers

	Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding (Ioannis Chiotellis and Rudolph Triebel and Thomas Windheuser and Daniel Cremers), In European Conference on Computer Vision (ECCV), 2016. (pdf) (code)
	Incremental Semi-Supervised Learning from Streams for Object Classification (Ioannis Chiotellis, Franziska Zimmermann, Daniel Cremers and Rudolph Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018. (pdf) (code)
	Effective Version Space Reduction for Convolutional Neural Networks (Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel and Daniel Cremers), In European Conference on Machine Learning and Data Mining (ECML-PKDD), 2020. (arxiv)

Workshop Papers

Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel and Daniel Cremers), Workshop on “Deep Learning for Action and Interaction” (NIPS), 2016. (arxiv)

Preprints

Neural Online Graph Exploration (Ioannis Chiotellis and Daniel Cremers), 2020. (arxiv) (code)