Dirk Weissenborn
Dirk Weissenborn
Verified email at google.com
Title
Cited by
Cited by
Year
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
12962020
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
3352015
Making Neural QA as Simple as Possible but not Simpler
D Weissenborn, G Wiese, L Seiffe
CoNLL, 2017
238*2017
Object-centric learning with slot attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
arXiv preprint arXiv:2006.15055, 2020
962020
Neural Domain Adaptation for Biomedical Question Answering
G Wiese, D Weissenborn, M Neves
CoNLL, 2017
94*2017
Axial attention in multidimensional transformers
J Ho, N Kalchbrenner, D Weissenborn, T Salimans
arXiv preprint arXiv:1912.12180, 2019
812019
Dynamic Integration of Background Knowledge in Neural NLU Systems
D Weissenborn, T Kočiský, C Dyer
arXiv preprint arXiv:1706.02596, 2017
58*2017
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
482020
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
43
Scaling autoregressive video models
D Weissenborn, O Täckström, J Uszkoreit
arXiv preprint arXiv:1906.02634, 2019
422019
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
392015
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
262016
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
Discovering relations between indirectly connected biomedical concepts
D Weissenborn, M Schroeder, G Tsatsaronis
Journal of biomedical semantics 6 (1), 1-19, 2015
182015
Discovering relations between indirectly connected biomedical concepts
D Weissenborn, G Tsatsaronis, M Schroeder
18*
Separating answers from queries for neural reading comprehension
D Weissenborn
arXiv preprint arXiv:1607.03316, 2016
172016
Colorization transformer
M Kumar, D Weissenborn, N Kalchbrenner
arXiv preprint arXiv:2102.04432, 2021
152021
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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