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Karsten Roth
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The Liver Tumor Segmentation Benchmark (LITS)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
10102023
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
913*2020
Towards Total Recall in Industrial Anomaly Detection
K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
6182022
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
2642020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
International Conference on Machine Learning 2020, 2020
1822020
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
1092019
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
692015
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
European Conference on Computer Vision 2020, 2020
652020
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
482022
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
482020
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
462021
Non-isotropy Regularization for Proxy-based Deep Metric Learning
K Roth, O Vinyals, Z Akata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
402022
Integrating Language Guidance into Vision-based Deep Metric Learning
K Roth, O Vinyals, Z Akata
Oral @ Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
332022
Sharing Matters for Generalization in Deep Metric Learning
T Milbich, K Roth, B Brattoli, B Ommer
TPAMI 2020, 2020
292020
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, 25006-25018, 2021
252021
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
K Roth, JM Kim, A Koepke, O Vinyals, C Schmid, Z Akata
International Conference on Computer Vision (ICCV), 2023, 2023
222023
Disentanglement of Correlated Factors via Hausdorff Factorized Support
K Roth, M Ibrahim, Z Akata, P Vincent, D Bouchacourt
The Eleventh International Conference on Learning Representations (ICLR), 2023, 2023
222023
Temporal control of the integrated stress response by a stochastic molecular switch
P Klein, SM Kallenberger, H Roth, K Roth, TBN Ly-Hartig, V Magg, J Aleš, ...
Science Advances 8 (12), eabk2022, 2022
162022
Is fairness only metric deep? evaluating and addressing subgroup gaps in deep metric learning
N Dullerud, K Roth, K Hamidieh, N Papernot, M Ghassemi
The Tenth International Conference on Learning Representations (ICLR), 2022, 2022
162022
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function
K Roth, T Konopczyński, J Hesser
arXiv preprint arXiv:1905.03639, 2019
112019
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Articles 1–20