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Daniel Keysers

Daniel Keysers has 2 papers in our library, in 2021–2024; often with Andre Susano Pinto, Maxim Neumann, Alexander Kolesnikov.

2 papers in our library · 2021–2024

OpenAlex · ORCID · h-index 42 · 197 works · 8,587 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 565 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #5790

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓RWTH Aachen UniversityAachen · Germany2000–2007 · 68 papers🔬German Research Centre for Artificial IntelligenceKaiserslautern · Germany2006–2008 · 23 papers🏢GoogleMountain View · United States2014–2024 · 11 papers🎓University of KaiserslauternKaiserslautern · Germany2006–2010 · 6 papers🏢GoogleZurich · Switzerland2016–2022 · 3 papers🏢Google DeepMindLondon · United Kingdom2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 works

 Works by year

2020s

20241 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PaliGemma: A versatile 3B VLM for transfer (2024 · 142 citations)
    The paper targets a practical need: a compact, openly available vision-language model that works as a general base and can be fine-tuned to many downstream tasks.
  2. Scaling Vision with Sparse Mixture of Experts (2021 · 128 citations)
    Large vision networks are usually dense: each parameter touches every input, so growing capacity drives up compute.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. MLP-Mixer: An all-MLP Architecture for Vision ↗arXiv (Cornell University) · no summary yetIlya Tolstikhin et al.2021 · 1,513 citations
  2. The 2005 PASCAL Visual Object Classes Challenge ↗Lecture notes in computer science · no summary yetMark Everingham et al.2006 · 743 citations
  3. LiT: Zero-Shot Transfer with Locked-image text Tuning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaohua Zhai et al.2022 · 473 citations
  4. Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment ↗Lecture notes in computer science · no summary yetMark Everingham et al.2006 · 218 citations
  5. Scaling Vision Transformers to 22 Billion Parameters ↗arXiv:2302.05442 · no summary yetMostafa Dehghani et al.2023 · 217 citations
  6. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  7. Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974Carlos Riquelme, Joan Puigcerver, Basil Mustafa, et al.2021 · 128 citations

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 565 times (of the 149,439 papers whose bibliographies we read); 81 citing papers with a page here →.

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