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| Hauptseite > Publikationsdatenbank > Outstanding Paper Award on NeurIPS 2022 conference > print |
| 001 | 943418 | ||
| 005 | 20230127125918.0 | ||
| 037 | _ | _ | |a FZJ-2023-01003 |
| 100 | 1 | _ | |a Cherti, Mehdi |0 P:(DE-Juel1)180894 |b 0 |u fzj |
| 245 | _ | _ | |a Outstanding Paper Award on NeurIPS 2022 conference |
| 260 | _ | _ | |a La Jolla, California, United States |b Neural Information Processing Systems Foundation |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a Grant |2 EndNote |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Award |b award |m award |0 PUB:(DE-HGF)38 |s 1674746943_19833 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Other |2 DINI |
| 502 | _ | _ | |d 2022 |
| 520 | _ | _ | |a The publication "LAION-5B: An open large-scale dataset for training next generation image-text models" by Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade W Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa R Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, Jenia Jitsev was honored as Outstanding Dataset and Benchmarks Paper. |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 700 | 1 | _ | |a Jitsev, Jenia |0 P:(DE-Juel1)158080 |b 1 |e Corresponding author |u fzj |
| 856 | 4 | _ | |u https://blog.neurips.cc/2022/11/21/announcing-the-neurips-2022-awards/ |
| 909 | C | O | |o oai:juser.fz-juelich.de:943418 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)180894 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)158080 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 980 | _ | _ | |a award |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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