Jakob Uszkoreit
- Artificial Intelligence top 0.5%
- Topic Modeling 18
- Natural Language Processing Techniques 17
- Speech and dialogue systems 3
- Domain Adaptation and Few-Shot Learning 2
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- Multimodal Machine Learning Applications 8
- Music Technology and Sound Studies 2
- Handwritten Text Recognition Techniques 1
- Advanced Steganography and Watermarking Techniques 1
- Signal Processing top 5%
- Information Systems top 2%
- Co-authors
- Ankur P. ParikhOscar TäckströmDipanjan DasFranz Josef OchIllia PolosukhinWolfgang MachereyAndrew M. DaiTom Kwiatkowski
- Journals
- Nature Communications (1 paper)Transactions of the Association for Computational Linguistics (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jakob Uszkoreit
23 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 1.0k
- Signal Processing 207
- Information Systems 328
- Computer Graphics and Computer-Aided Design 46
Countries citing papers authored by Jakob Uszkoreit
This map shows the geographic impact of Jakob Uszkoreit's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jakob Uszkoreit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakob Uszkoreit more than expected).
Fields of papers citing papers by Jakob Uszkoreit
This network shows the impact of papers produced by Jakob Uszkoreit. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jakob Uszkoreit. The network helps show where Jakob Uszkoreit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jakob Uszkoreit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 2021 | 143 |
| 2 | Object-Centric Learning with Slot Attention | 2020 | 13 |
| 3 | 2020 | 163 | |
| 4 | 2020 | 2 | |
| 5 | Music Transformer: Generating Music with Long-Term Structure | 2019 | 119 |
| 6 | 2019 | 60 | |
| 7 | Natural Questions: A Benchmark for Question Answering Researchbreakdown → | 2019 | 984 |
| 8 | An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation | 2018 | 21 |
| 9 | 2017 | 79 | |
| 10 | A Decomposable Attention Model for Natural Language Inferencebreakdown → | 2016 | 772 |
| 11 | Language-Independent Discriminative Parsing of Temporal Expressions | 2013 | 13 |
| 12 | A Feature-Rich Constituent Context Model for Grammar Induction | 2012 | 7 |
| 13 | Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure | 2012 | 139 |
| 14 | Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation. | 2011 | 16 |
| 15 | Inducing Sentence Structure from Parallel Corpora for Reordering | 2011 | 37 |
| 16 | Large Scale Parallel Document Mining for Machine Translation | 2010 | 89 |
| 17 | "Poetic" Statistical Machine Translation: Rhyme and Meter | 2010 | 42 |
| 18 | Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation | 2008 | 52 |
| 19 | 2008 | 248 | |
| 20 | Automated nuclear segmentation in the determination of the Ki-67 labeling index in meningiomas. | 2006 | 40 |
About Jakob Uszkoreit
Jakob Uszkoreit is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 3.1k indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (17 papers), Multimodal Machine Learning Applications (8 papers), Speech and dialogue systems (3 papers), Music Technology and Sound Studies (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Handwritten Text Recognition Techniques (1 paper) and Advanced Steganography and Watermarking Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (2.6k citations), Computer Vision and Pattern Recognition (1.0k citations) and Signal Processing (207 citations). Jakob Uszkoreit has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Franz Josef Och, Illia Polosukhin, Wolfgang Macherey, Andrew M. Dai, Tom Kwiatkowski, Chris Alberti and Kenton Lee. Their work appears in journals such as Nature Communications, Transactions of the Association for Computational Linguistics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.