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 | 35963 | 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 | 657 | 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 | 595 | 2015 |
Axial attention in multidimensional transformers J Ho, N Kalchbrenner, D Weissenborn, T Salimans arXiv preprint arXiv:1912.12180, 2019 | 489 | 2019 |
Making Neural QA as Simple as Possible but not Simpler D Weissenborn, G Wiese, L Seiffe CoNLL, 2017 | 318* | 2017 |
Simple open-vocabulary object detection M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ... European Conference on Computer Vision, 728-755, 2022 | 281 | 2022 |
Scaling autoregressive video models D Weissenborn, O Täckström, J Uszkoreit arXiv preprint arXiv:1906.02634, 2019 | 209 | 2019 |
Colorization transformer M Kumar, D Weissenborn, N Kalchbrenner arXiv preprint arXiv:2102.04432, 2021 | 172 | 2021 |
Neural Domain Adaptation for Biomedical Question Answering G Wiese, D Weissenborn, M Neves CoNLL, 2017 | 149* | 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 | 85 | 2021 |
Dynamic Integration of Background Knowledge in Neural NLU Systems D Weissenborn, T Kočiský, C Dyer arXiv preprint arXiv:1706.02596, 2017 | 76* | 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 | 50 | 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 | 48 | 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 | 42 | 2016 |
Answering factoid questions in the biomedical domain. D Weissenborn, G Tsatsaronis, M Schroeder BioASQ@ CLEF 1094, 2013 | 31 | 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 | 29 | 2016 |
Cross-lingual candidate search for biomedical concept normalization R Roller, M Kittner, D Weissenborn, U Leser arXiv preprint arXiv:1805.01646, 2018 | 25 | 2018 |
Discovering relations between indirectly connected biomedical concepts D Weissenborn, M Schroeder, G Tsatsaronis Journal of biomedical semantics 6, 1-19, 2015 | 25 | 2015 |
Separating answers from queries for neural reading comprehension D Weissenborn arXiv preprint arXiv:1607.03316, 2016 | 19 | 2016 |
Jack the reader-A machine reading framework D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ... arXiv preprint arXiv:1806.08727, 2018 | 12 | 2018 |