default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJakob Uszkoreit
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[j2]Andreas Steiner, Alexander Kolesnikov, Xiaohua Zhai, Ross Wightman, Jakob Uszkoreit, Lucas Beyer:
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers. Trans. Mach. Learn. Res. 2022 (2022)- [c30]Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR 2022: 6219-6228 - 2021
- [c29]Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
:
Differentiable Patch Selection for Image Recognition. CVPR 2021: 2351-2360 - [c28]Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby:
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR 2021 - [c27]Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy:
MLP-Mixer: An all-MLP Architecture for Vision. NeurIPS 2021: 24261-24272 - [i23]Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
Differentiable Patch Selection for Image Recognition. CoRR abs/2104.03059 (2021) - [i22]Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy:
MLP-Mixer: An all-MLP Architecture for Vision. CoRR abs/2105.01601 (2021) - [i21]Andreas Steiner, Alexander Kolesnikov, Xiaohua Zhai, Ross Wightman, Jakob Uszkoreit, Lucas Beyer:
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers. CoRR abs/2106.10270 (2021) - [i20]Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi:
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR abs/2111.13152 (2021) - 2020
- [c26]William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. EMNLP (1) 2020: 5764-5773 - [c25]Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit:
Scaling Autoregressive Video Models. ICLR 2020 - [c24]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. NeurIPS 2020 - [i19]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. CoRR abs/2006.15055 (2020) - [i18]Elman Mansimov, Mitchell Stern, Mia Xu Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain:
Towards End-to-End In-Image Neural Machine Translation. CoRR abs/2010.10648 (2020) - [i17]Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby:
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. CoRR abs/2010.11929 (2020)
2010 – 2019
- 2019
- [j1]Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov:
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7: 452-466 (2019) - [c23]Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser:
Universal Transformers. ICLR (Poster) 2019 - [c22]Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Ian Simon, Curtis Hawthorne, Noam Shazeer, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck:
Music Transformer: Generating Music with Long-Term Structure. ICLR (Poster) 2019 - [c21]Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. ICML 2019: 5976-5985 - [i16]Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. CoRR abs/1902.03249 (2019) - [i15]William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit:
KERMIT: Generative Insertion-Based Modeling for Sequences. CoRR abs/1906.01604 (2019) - [i14]Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit:
Scaling Autoregressive Video Models. CoRR abs/1906.02634 (2019) - [i13]William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. CoRR abs/1910.13437 (2019) - 2018
- [c20]Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes:
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation. ACL (1) 2018: 76-86 - [c19]Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit:
Tensor2Tensor for Neural Machine Translation. AMTA (1) 2018: 193-199 - [c18]Lukasz Kaiser, Samy Bengio, Aurko Roy, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Noam Shazeer:
Fast Decoding in Sequence Models Using Discrete Latent Variables. ICML 2018: 2395-2404 - [c17]Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran:
Image Transformer. ICML 2018: 4052-4061 - [c16]Peter Shaw, Jakob Uszkoreit, Ashish Vaswani:
Self-Attention with Relative Position Representations. NAACL-HLT (2) 2018: 464-468 - [c15]Mitchell Stern, Noam Shazeer, Jakob Uszkoreit:
Blockwise Parallel Decoding for Deep Autoregressive Models. NeurIPS 2018: 10107-10116 - [i12]Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku:
Image Transformer. CoRR abs/1802.05751 (2018) - [i11]Peter Shaw, Jakob Uszkoreit, Ashish Vaswani:
Self-Attention with Relative Position Representations. CoRR abs/1803.02155 (2018) - [i10]Lukasz Kaiser, Aurko Roy, Ashish Vaswani, Niki Parmar, Samy Bengio, Jakob Uszkoreit, Noam Shazeer:
Fast Decoding in Sequence Models using Discrete Latent Variables. CoRR abs/1803.03382 (2018) - [i9]Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit:
Tensor2Tensor for Neural Machine Translation. CoRR abs/1803.07416 (2018) - [i8]Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser:
Universal Transformers. CoRR abs/1807.03819 (2018) - [i7]Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Douglas Eck:
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. CoRR abs/1809.04281 (2018) - [i6]Mitchell Stern, Noam Shazeer, Jakob Uszkoreit:
Blockwise Parallel Decoding for Deep Autoregressive Models. CoRR abs/1811.03115 (2018) - 2017
- [c14]Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit, Illia Polosukhin, Alexandre Lacoste, Jonathan Berant:
Coarse-to-Fine Question Answering for Long Documents. ACL (1) 2017: 209-220 - [c13]Gaurav Singh Tomar, Thyago Duque, Oscar Täckström, Jakob Uszkoreit, Dipanjan Das:
Neural Paraphrase Identification of Questions with Noisy Pretraining. SWCN@EMNLP 2017: 142-147 - [c12]Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin:
Attention is All you Need. NIPS 2017: 5998-6008 - [i5]Gaurav Singh Tomar, Thyago Duque, Oscar Täckström, Jakob Uszkoreit, Dipanjan Das:
Neural Paraphrase Identification of Questions with Noisy Pretraining. CoRR abs/1704.04565 (2017) - [i4]Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin:
Attention Is All You Need. CoRR abs/1706.03762 (2017) - [i3]Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit:
One Model To Learn Them All. CoRR abs/1706.05137 (2017) - 2016
- [c11]Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit:
A Decomposable Attention Model for Natural Language Inference. EMNLP 2016: 2249-2255 - [i2]Ankur P. Parikh, Oscar Täckström, Dipanjan Das, Jakob Uszkoreit:
A Decomposable Attention Model for Natural Language Inference. CoRR abs/1606.01933 (2016) - [i1]Eunsol Choi, Daniel Hewlett, Alexandre Lacoste, Illia Polosukhin, Jakob Uszkoreit, Jonathan Berant:
Hierarchical Question Answering for Long Documents. CoRR abs/1611.01839 (2016) - 2013
- [c10]Gabor Angeli, Jakob Uszkoreit:
Language-Independent Discriminative Parsing of Temporal Expressions. ACL (1) 2013: 83-92 - 2012
- [c9]Dave Golland, John DeNero, Jakob Uszkoreit:
A Feature-Rich Constituent Context Model for Grammar Induction. ACL (2) 2012: 17-22 - [c8]Oscar Täckström, Ryan T. McDonald, Jakob Uszkoreit:
Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure. HLT-NAACL 2012: 477-487 - 2011
- [c7]John DeNero, Jakob Uszkoreit:
Inducing Sentence Structure from Parallel Corpora for Reordering. EMNLP 2011: 193-203 - [c6]Ashish Venugopal, Jakob Uszkoreit, David Talbot, Franz Josef Och, Juri Ganitkevitch:
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation. EMNLP 2011: 1363-1372 - 2010
- [c5]Jakob Uszkoreit, Jay Ponte, Ashok C. Popat, Moshe Dubiner:
Large Scale Parallel Document Mining for Machine Translation. COLING 2010: 1101-1109 - [c4]Dmitriy Genzel, Jakob Uszkoreit, Franz Josef Och:
'Poetic' Statistical Machine Translation: Rhyme and Meter. EMNLP 2010: 158-166
2000 – 2009
- 2009
- [c3]Dmitriy Genzel, Klaus Macherey, Jakob Uszkoreit:
Creating a High-Quality Machine Translation System for a Low-Resource Language: Yiddish. MTSummit 2009 - 2008
- [c2]Jakob Uszkoreit, Thorsten Brants:
Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation. ACL 2008: 755-762 - [c1]Wolfgang Macherey, Franz Josef Och, Ignacio Thayer, Jakob Uszkoreit:
Lattice-based Minimum Error Rate Training for Statistical Machine Translation. EMNLP 2008: 725-734
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-04 20:05 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
