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2020 – today
- 2023
[j2]Christoph Käding, Jakob Runge:
Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation. J. Mach. Learn. Res. 24: 278:1-278:144 (2023)- 2020
- [b1]Christoph Käding:
Human-in-the-loop: lifelong learning for shallow and deep models / von M.Sc. Christoph Käding. University of Jena, Germany, 2020, pp. 1-297 - [j1]Clemens-Alexander Brust
, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. Künstliche Intell. 34(2): 165-180 (2020) - [i5]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. CoRR abs/2001.07100 (2020)
2010 – 2019
- 2019
- [c10]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. VISIGRAPP (5: VISAPP) 2019: 181-190 - 2018
- [c9]Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler:
Active Learning for Regression Tasks with Expected Model Output Changes. BMVC 2018: 103 - [c8]Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. GCPR 2018: 650-666 - [i4]Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. CoRR abs/1809.02337 (2018) - [i3]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. CoRR abs/1809.09875 (2018) - 2017
- [c7]Alexander Schultheiß, Christoph Käding, Alexander Freytag, Joachim Denzler:
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. GCPR 2017: 226-238 - [c6]Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler:
Towards Automated Visual Monitoring of Individual Gorillas in the Wild. ICCV Workshops 2017: 2820-2830 - [i2]Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler:
Fast Learning and Prediction for Object Detection using Whitened CNN Features. CoRR abs/1704.02930 (2017) - 2016
- [c5]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) 2016: 588-605 - [c4]Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler:
Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR 2016: 179-191 - [c3]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN 2016 - [i1]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR abs/1612.06129 (2016) - 2015
- [c2]Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Active learning and discovery of object categories in the presence of unnameable instances. CVPR 2015: 4343-4352 - 2012
- [c1]Ralf Biedert, Andreas Dengel, Christoph Käding:
Universal eye-tracking based text cursor warping. ETRA 2012: 361-364
Coauthor Index
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