Uszkoreit, Jakob
Google (United States)
12 papers on CoChatORCID 0000-0001-5066-7530
Most cited papers
- Verified
Attention Is All You Need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 120,404
- Verified
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al. (2020) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 47,472
- Verified
Self-Attention with Relative Position Representations
Shaw, P., Uszkoreit, J., & Vaswani, A. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 2,505
- Verified
MLP-Mixer: An all-MLP Architecture for Vision
Tolstikhin, I., Houlsby, N., Kolesnikov, A., Beyer, L., Zhai, X., Unterthiner, T., Yung, J., Steiner, A., Keysers, D., Uszkoreit, J., et al. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 2,087
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Natural Questions: A benchmark for question answering research
Kwiatkowski, T., Palomaki, J., Redfield, O., Collins, M., Parikh, A., Alberti, C., Epstein, D., Polosukhin, I., Devlin, J., Lee, K., et al. (2019) · Transactions of the Association for Computational Linguistics
Topic ModelingInformation Retrieval and Search Behavior
Cited by 2,069
- Verified
Image transformer
Parmar, N., Vaswani, A., Uszkoreit, J., Kaiser, Ł., Shazeer, N., Ku, A., & Tran, D. (2018) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 1,085
- Verified
Universal Transformers
Dehghani, M., Gouws, S., Vinyals, O., Uszkoreit, J., & Kaiser, Ł. (2018) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 467
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How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Steiner, A., Kolesnikov, A., Zhai, X., Wightman, R., Uszkoreit, J., & Beyer, L. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 292
- Verified
One Model To Learn Them All
Kaiser, L., Gomez, A. N., Shazeer, N., Vaswani, A., Parmar, N., Jones, L., & Uszkoreit, J. (2017) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 253
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Coarse-to-Fine Question Answering for Long Documents
Choi, E., Hewlett, D., Uszkoreit, J., Polosukhin, I., Lacoste, A., & Berant, J. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 177
- Verified
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
Sajjadi, M. S. M., Meyer, H., Pot, E., Bergmann, U., Greff, K., Radwan, N., Vora, S., Lucic, M., Duckworth, D., Dosovitskiy, A., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
3D Shape Modeling and AnalysisAdvanced Vision and Imaging
Cited by 143
- Verified
Scaling Autoregressive Video Models
Weissenborn, D., Täckström, O., & Uszkoreit, J. (2019) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 93
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