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

Oct 22, 2020
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby

* Fine-tuning code and pre-trained models are available at https://github.com/google-research/vision_transformer 

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Towards End-to-End In-Image Neural Machine Translation

Oct 20, 2020
Elman Mansimov, Mitchell Stern, Mia Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain

* Accepted as an oral presentation at EMNLP, NLP Beyond Text workshop, 2020 

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Object-Centric Learning with Slot Attention

Jun 26, 2020
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf


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An Empirical Study of Generation Order for Machine Translation

Oct 29, 2019
William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit


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Scaling Autoregressive Video Models

Jun 06, 2019
Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit


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KERMIT: Generative Insertion-Based Modeling for Sequences

Jun 04, 2019
William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit

* William Chan, Nikita Kitaev, Kelvin Guu, and Mitchell Stern contributed equally 

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Insertion Transformer: Flexible Sequence Generation via Insertion Operations

Feb 08, 2019
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit


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Blockwise Parallel Decoding for Deep Autoregressive Models

Nov 07, 2018
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit

* NIPS 2018 

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Music Transformer

Oct 10, 2018
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Ian Simon, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck

* Rewrote many sections to clarify the work, and extended relative attention to the local case. Previous title is "An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" 

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Universal Transformers

Jul 10, 2018
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Łukasz Kaiser


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Image Transformer

Jun 15, 2018
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Łukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran

* Appears in International Conference on Machine Learning, 2018. Code available at https://github.com/tensorflow/tensor2tensor 

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Fast Decoding in Sequence Models using Discrete Latent Variables

Jun 07, 2018
Łukasz Kaiser, Aurko Roy, Ashish Vaswani, Niki Parmar, Samy Bengio, Jakob Uszkoreit, Noam Shazeer

* ICML 2018 

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Self-Attention with Relative Position Representations

Apr 12, 2018
Peter Shaw, Jakob Uszkoreit, Ashish Vaswani

* NAACL 2018 

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Tensor2Tensor for Neural Machine Translation

Mar 16, 2018
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit

* arXiv admin note: text overlap with arXiv:1706.03762 

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Attention Is All You Need

Dec 06, 2017
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin

* 15 pages, 5 figures 

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One Model To Learn Them All

Jun 16, 2017
Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit


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Hierarchical Question Answering for Long Documents

Feb 08, 2017
Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant


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A Decomposable Attention Model for Natural Language Inference

Sep 25, 2016
Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit

* 7 pages, 1 figure, Proceeedings of EMNLP 2016 

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