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Jakob Uszkoreit

Jakob Uszkoreit

D-Index & Metrics

Computer Science

D-Index
36
Citations
65267
World Ranking
10946
National Ranking
4547

Overview

Jakob Uszkoreit is affiliated with Inceptive in the United States and has contributed to research primarily in the field of Computer Science. Their scholarly work spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, as well as Computer Graphics and Computer-Aided Design.

The main topics addressed in Jakob Uszkoreit's publications involve Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Natural Language Processing Techniques, Topic Modeling, COVID-19 diagnosis using AI, and Advanced Vision and Imaging.

The scientist's publication record includes contributions to notable venues such as arXiv (Cornell University), the Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Nature Communications, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

  • MizAR 60 for Mizar 50, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, 2020, arXiv (Cornell University)
  • MLP-Mixer: An all-MLP Architecture for Vision, 2021, arXiv (Cornell University)
  • Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals, 2020, Nature Communications
  • How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers, 2021, arXiv (Cornell University)

Frequent collaborators include Alexey Dosovitskiy, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, and Mario Lučić. These co-authors have appeared multiple times alongside Jakob Uszkoreit in joint research efforts.

Best Publications

  • Attention is All you Need

    Ashish Vaswani;Noam Shazeer;Niki Parmar;Jakob Uszkoreit

  • An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

    Alexey Dosovitskiy;Lucas Beyer;Alexander Kolesnikov;Dirk Weissenborn

  • Self-Attention with Relative Position Representations

    Peter Shaw;Jakob Uszkoreit;Ashish Vaswani

  • Natural Questions: A Benchmark for Question Answering Research

    Tom Kwiatkowski;Jennimaria Palomaki;Olivia Redfield;Michael Collins

  • MLP-Mixer: An all-MLP Architecture for Vision

    Ilya Tolstikhin;Neil Houlsby;Alexander Kolesnikov;Lucas Beyer

  • A Decomposable Attention Model for Natural Language Inference

    Ankur P. Parikh;Oscar Tackstrom;Dipanjan Das;Jakob Uszkoreit

  • Tensor2Tensor for Neural Machine Translation

    Ashish Vaswani;Samy Bengio;Eugene Brevdo;Francois Chollet

  • The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

    Mia Xu Chen;Orhan Firat;Ankur Bapna;Melvin Johnson

  • Lattice-based Minimum Error Rate Training for Statistical Machine Translation

    Wolfgang Macherey;Franz Och;Ignacio Thayer;Jakob Uszkoreit

  • Universal Transformers

    Mostafa Dehghani;Stephan Gouws;Oriol Vinyals;Jakob Uszkoreit

  • Music Transformer: Generating Music with Long-Term Structure

    Cheng-Zhi Anna Huang;Ashish Vaswani;Jakob Uszkoreit;Noam Shazeer

  • One Model To Learn Them All

    Lukasz Kaiser;Aidan N. Gomez;Noam Shazeer;Ashish Vaswani

  • Object-Centric Learning with Slot Attention

    Francesco Locatello;Dirk Weissenborn;Thomas Unterthiner;Aravindh Mahendran

  • Transforming machine translation: a deep learning system reaches news translation quality comparable to human professionals.

    Martin Popel;Marketa Tomkova;Jakub Tomek;Łukasz Kaiser

  • Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure

    Oscar Täckström;Ryan McDonald;Jakob Uszkoreit

  • Insertion Transformer: Flexible Sequence Generation via Insertion Operations

    Mitchell Stern;William Chan;Jamie Kiros;Jakob Uszkoreit

  • Image Transformer

    Niki Parmar;Ashish Vaswani;Jakob Uszkoreit;Łukasz Kaiser

  • Fast Decoding in Sequence Models using Discrete Latent Variables

    Łukasz Kaiser;Aurko Roy;Ashish Vaswani;Niki Parmar

  • Coarse-to-Fine Question Answering for Long Documents

    Eunsol Choi;Daniel Hewlett;Jakob Uszkoreit;Illia Polosukhin

  • Large Scale Parallel Document Mining for Machine Translation

    Jakob Uszkoreit;Jay Ponte;Ashok Popat;Moshe Dubiner

  • Music Transformer

    Cheng-Zhi Anna Huang;Ashish Vaswani;Jakob Uszkoreit;Noam Shazeer

Frequent Co-Authors

Noam Shazeer
Noam Shazeer Google (United States)
Ashish Vaswani
Ashish Vaswani Google (United States)
Alexey Dosovitskiy
Alexey Dosovitskiy Google (United States)
Percy Liang
Percy Liang Stanford University
Franz Josef Och
Franz Josef Och Google (United States)
Xiaohua Zhai
Xiaohua Zhai Google (United States)
Dipanjan Das
Dipanjan Das Google (United States)
Georg Heigold
Georg Heigold German Research Centre for Artificial Intelligence
Samy Bengio
Samy Bengio Apple (United States)

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