Karsten Roth

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Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITZweryfikowany adres z mit.edu
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichZweryfikowany adres z helmholtz-munich.de
Joseph Paul CohenAmazon, AIMI (Stanford University), Mila (Quebec AI Institute)Zweryfikowany adres z stanford.edu
Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of MunichZweryfikowany adres z lmu.de
Timo MilbichAignostics GmbHZweryfikowany adres z aignostics.com
Samarth SinhaUniversity of TorontoZweryfikowany adres z mail.utoronto.ca
Oriol VinyalsResearch Scientist at Google DeepMindZweryfikowany adres z google.com
Thomas BroxUniversity of FreiburgZweryfikowany adres z cs.uni-freiburg.de
Peter GehlerZalandoZweryfikowany adres z zalando.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHZweryfikowany adres z tuebingen.mpg.de
Joaquin Zepeda SalvatierraMetaZweryfikowany adres z meta.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARZweryfikowany adres z umontreal.ca
Natalie DullerudPh.D. Student, Stanford UniversityZweryfikowany adres z stanford.edu
Biagio BrattoliResearch scientist at Lunit, previously AWS. PhD at Heidelberg UniversityZweryfikowany adres z lunit.io
A. Sophia KoepkeUniversity of Tübingen and Technical University of MunichZweryfikowany adres z uni-tuebingen.de
Shyamgopal KarthikUniversity of TübingenZweryfikowany adres z uni-tuebingen.de
Prateek GuptaDPhil, University of Oxford, The Alan Turing Institute, Montréal Institute of Learning AlgorithmsZweryfikowany adres z columbia.edu
Olivier J HénaffGoogle DeepMindZweryfikowany adres z google.com
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyZweryfikowany adres z mit.edu
Juergen HesserHeidelberg UniversityZweryfikowany adres z medma.uni-heidelberg.de

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Karsten Roth

ELLIS, IMPRS-IS, University of Tübingen

Zweryfikowany adres z uni-tuebingen.de - Strona główna

Continual Learning Generalization Foundation Models Vision and Language Deep Metric Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	1369	2023
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	1042	2022
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	997*	2020
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	281	2020
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	211	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	123	2019
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	75	2022
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	72	2015
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, ... European Conference on Computer Vision 2020, 2020	71	2020
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	65	2023
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	56	2020
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	54	2021
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	51	2022
Vision-by-Language for Training-Free Compositional Image Retrieval S Karthik, K Roth, M Mancini, Z Akata The Twelth International Conference on Learning Representations (ICLR), 2024, 2023	42	2023
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	41	2022
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	34	2023
Sharing Matters for Generalization in Deep Metric Learning T Milbich, K Roth, B Brattoli, B Ommer TPAMI 2020, 2020	30	2020
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	29	2022
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	25	2021
A non-isotropic probabilistic take on proxy-based deep metric learning M Kirchhof, K Roth, Z Akata, E Kasneci European Conference on Computer Vision, 435-454, 2022	22	2022

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