‪Xiahan Shi‬ - ‪Google Scholar‬

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Cited by

	All	Since 2019
Citations	115	115
h-index	4	4
i10-index	2	2

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32

16

2019202020212022202320242 21 23 28 32 9

Co-authors

Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Martin SchieggResearch Scientist, Bosch Center for AIVerified email at bosch.com
Christos LouizosQualcomm AI ResearchVerified email at qti.qualcomm.com
Klamer SchutteTNO, Intelligent ImagingVerified email at TNO.nl
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichVerified email at helmholtz-munich.de

Xiahan Shi

Xiahan Shi

Bosch Center for Artificial Intelligence

Verified email at de.bosch.com

machine learning deep learning few-shot learning transfer learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The functional neural process C Louizos, X Shi, K Schutte, M Welling Advances in Neural Information Processing Systems 32, 2019	76	2019
Relational generalized few-shot learning X Shi, L Salewski, M Schiegg, Z Akata, M Welling arXiv preprint arXiv:1907.09557, 2019	25	2019
Diagvib-6: A diagnostic benchmark suite for vision models in the presence of shortcut and generalization opportunities E Eulig, P Saranrittichai, CK Mummadi, K Rambach, W Beluch, X Shi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	8	2021
Machine learning system C Louizos, W Max, X Shi US Patent App. 16/893,083, 2020	5	2020
Determining an output signal by aggregating parent instances M Schiegg, X Shi US Patent App. 17/080,365, 2021	1	2021
Adapting a base classifier to novel classes X Shi, M Schiegg, L Salewski, M Welling, Z Akata US Patent 11,481,649, 2022		2022

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