Dirk Weissenborn
Dirk Weissenborn
Inceptive Inc.
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Cited by
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
Object-centric learning with slot attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
Advances in neural information processing systems 33, 11525-11538, 2020
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, 1-28, 2015
Axial attention in multidimensional transformers
J Ho, N Kalchbrenner, D Weissenborn, T Salimans
arXiv preprint arXiv:1912.12180, 2019
Making Neural QA as Simple as Possible but not Simpler
D Weissenborn, G Wiese, L Seiffe
CoNLL, 2017
Simple open-vocabulary object detection
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
European Conference on Computer Vision, 728-755, 2022
Scaling autoregressive video models
D Weissenborn, O Täckström, J Uszkoreit
arXiv preprint arXiv:1906.02634, 2019
Colorization transformer
M Kumar, D Weissenborn, N Kalchbrenner
arXiv preprint arXiv:2102.04432, 2021
Neural Domain Adaptation for Biomedical Question Answering
G Wiese, D Weissenborn, M Neves
CoNLL, 2017
Differentiable patch selection for image recognition
JB Cordonnier, A Mahendran, A Dosovitskiy, D Weissenborn, J Uszkoreit, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Dynamic Integration of Background Knowledge in Neural NLU Systems
D Weissenborn, T Kočiský, C Dyer
arXiv preprint arXiv:1706.02596, 2017
An image is worth 16x16 words: transformers for image recognition at scale. arXiv preprint arXiv: 201011929
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
Published online, 2020
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
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
Answering factoid questions in the biomedical domain.
D Weissenborn, G Tsatsaronis, M Schroeder
BioASQ@ CLEF 1094, 2013
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
Cross-lingual candidate search for biomedical concept normalization
R Roller, M Kittner, D Weissenborn, U Leser
arXiv preprint arXiv:1805.01646, 2018
Discovering relations between indirectly connected biomedical concepts
D Weissenborn, M Schroeder, G Tsatsaronis
Journal of biomedical semantics 6, 1-19, 2015
Separating answers from queries for neural reading comprehension
D Weissenborn
arXiv preprint arXiv:1607.03316, 2016
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv preprint 2021
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 2010
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