Dirk Weissenborn
Dirk Weissenborn
Bestätigte E-Mail-Adresse bei google.com
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Zitiert von
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An image is worth 16x16 words: Transformers for image recognition at scale
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 2020
9652020
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
G Tsatsaronis, G Balikas, P Malakasiotis, I Partalas, M Zschunke, ...
BMC bioinformatics 16 (1), 1-28, 2015
3292015
Making Neural QA as Simple as Possible but not Simpler
D Weissenborn, G Wiese, L Seiffe
CoNLL, 2017
235*2017
Neural Domain Adaptation for Biomedical Question Answering
G Wiese, D Weissenborn, M Neves
CoNLL, 2017
92*2017
Object-centric learning with slot attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
arXiv preprint arXiv:2006.15055, 2020
752020
Axial attention in multidimensional transformers
J Ho, N Kalchbrenner, D Weissenborn, T Salimans
arXiv preprint arXiv:1912.12180, 2019
722019
Dynamic Integration of Background Knowledge in Neural NLU Systems
D Weissenborn, T Kočiský, C Dyer
arXiv preprint arXiv:1706.02596, 2017
56*2017
Scaling autoregressive video models
D Weissenborn, O Täckström, J Uszkoreit
arXiv preprint arXiv:1906.02634, 2019
402019
Multi-objective optimization for the joint disambiguation of nouns and named entities
D Weissenborn, L Hennig, F Xu, H Uszkoreit
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
382015
An image is worth 16x16 words: Transformers for image recognition at scale. arXiv 2020
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 0
34
Answering Factoid Questions in the Biomedical Domain.
D Weissenborn, G Tsatsaronis, M Schroeder
BioASQ@ CLEF 1094, 2013
272013
Event linking with sentential features from convolutional neural networks
S Krause, F Xu, H Uszkoreit, D Weissenborn
Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016
252016
Matthias M., G. Heigold, S. Gelly, J. Uszkoreit, and N. Houlsby. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929 2 (3), 2020
212020
Sar-graphs: A language resource connecting linguistic knowledge with semantic relations from knowledge graphs
S Krause, L Hennig, A Moro, D Weissenborn, F Xu, H Uszkoreit, R Navigli
Journal of Web Semantics 37, 112-131, 2016
192016
Separating answers from queries for neural reading comprehension
D Weissenborn
arXiv preprint arXiv:1607.03316, 2016
172016
Discovering relations between indirectly connected biomedical concepts
D Weissenborn, M Schroeder, G Tsatsaronis
Journal of biomedical semantics 6 (1), 1-19, 2015
172015
Discovering relations between indirectly connected biomedical concepts
D Weissenborn, G Tsatsaronis, M Schroeder
17*
Colorization transformer
M Kumar, D Weissenborn, N Kalchbrenner
arXiv preprint arXiv:2102.04432, 2021
142021
Cross-lingual candidate search for biomedical concept normalization
R Roller, M Kittner, D Weissenborn, U Leser
arXiv preprint arXiv:1805.01646, 2018
92018
Jack the reader-A machine reading framework
D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ...
arXiv preprint arXiv:1806.08727, 2018
82018
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