Karsten Roth
Karsten Roth
PhD Student (ELLIS, IMPRS-IS), Explainable Machine Learning Group, University of Tuebingen
Verified email at - Homepage
Cited by
Cited by
Covid-19 image data collection: Prospective predictions are the future
JP Cohen, P Morrison, L Dao, K Roth, TQ Doung, M Ghassemi
Journal of Machine Learning for Biomedical Imaging (MELBA), 2020
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
Predicting covid-19 pneumonia severity on chest x-ray with deep learning
JP Cohen, L Dao, K Roth, P Morrison, Y Bengio, AF Abbasi, B Shen, ...
Cureus 12 (7), 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
ICML 2020, 2020
MIC: Mining Interclass Characteristics for Improved Metric Learning
K Roth, B Brattoli, B Ommer
Proceedings of the IEEE International Conference on Computer Vision, 8000-8009, 2019
Efficient preparation and detection of microwave dressed-state qubits and qutrits with trapped ions
J Randall, S Weidt, ED Standing, K Lake, SC Webster, DF Murgia, ...
Physical Review A 91 (1), 012322, 2015
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
ECCV 2020, 2020
Pads: Policy-adapted sampling for visual similarity learning
K Roth, T Milbich, B Ommer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Towards total recall in industrial anomaly detection
K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler
arXiv preprint arXiv:2106.08265, 2021
Sharing Matters for Generalization in Deep Metric Learning
T Milbich, K Roth, B Brattoli, B Ommer
TPAMI 2020, 2020
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function
K Roth, T Konopczyński, J Hesser
arXiv preprint arXiv:1905.03639, 2019
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
K Roth, T Milbich, B Ommer, JP Cohen, M Ghassemi
International Conference on Machine Learning, 9095-9106, 2021
Characterizing generalization under out-of-distribution shifts in deep metric learning
T Milbich, K Roth, S Sinha, L Schmidt, M Ghassemi, B Ommer
Advances in Neural Information Processing Systems 34, 2021
Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining
K Roth, J Hesser, T Konopczyński
Medical Imaging Workshop at NeurIPS 2019, 2019
Diffuse domain method for needle insertion simulations
KI Jerg, RP Austermühl, K Roth, J Große Sundrup, G Kanschat, ...
International Journal for Numerical Methods in Biomedical Engineering 36 (9 …, 2020
Is fairness only metric deep? evaluating and addressing subgroup gaps in deep metric learning
N Dullerud, K Roth, K Hamidieh, N Papernot, M Ghassemi
arXiv preprint arXiv:2203.12748, 2022
Improving the Fairness of Chest X-ray Classifiers
H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi
Conference on Health, Inference, and Learning, 204-233, 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
K Roth, O Vinyals, Z Akata
arXiv preprint arXiv:2203.08547, 2022
Uniform Priors for Data-Efficient Transfer
S Sinha, K Roth, A Goyal, M Ghassemi, H Larochelle, A Garg
arXiv preprint arXiv:2006.16524, 2020
Integrating Language Guidance into Vision-based Deep Metric Learning
K Roth, O Vinyals, Z Akata
arXiv preprint arXiv:2203.08543, 2022
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