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Max Jaderberg

Max Jaderberg has 2 papers in our library, in 2016–2017; often with Wojciech Marian Czarnecki, David Silver, Denis Teplyashin.

2 papers in our library · 2016–2017

OpenAlex · ORCID · Wikidata · h-index 28 · 40 works · 26,488 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 752 times in our library · 14 more in our library without a page yet · ⭐ Paper Stars ranking: #4212

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

🏢Google DeepMindLondon · United Kingdom2014–2020 · 13 papers🎓University of OxfordOxford · United Kingdom2014–2016 · 8 papersEducation until 2015🏢GoogleMountain View · United States2016–2020 · 5 papers
🏛️Isomorphic LabsUnited KingdomEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

 Works by year

2010s

20171 paper20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Reinforcement Learning with Unsupervised Auxiliary Tasks (2016 · 319 citations)
    Deep RL agents usually learn only from extrinsic reward, which is often sparse. That leaves most of the information in an agent's observation stream unused. Jaderberg et al. (DeepMind) propose UNREAL (UNsupervised REinforcement and Auxiliary Learning), which extends the A3C actor-critic with extra objectives that…
  2. Grounded Language Learning in a Simulated 3D World (2017 · 190 citations)
    Teaching machines to connect words with what they see and do remains a hard problem. Earlier systems such as SHRDLU depended on hand-written rules, and later work mostly used simplified, highly structured settings. This DeepMind paper adds a text-instruction channel to an extended version of DeepMind Lab, a 3D…

All works

16 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. Grandmaster level in StarCraft II using multi-agent reinforcement learning ↗Nature · no summary yetOriol Vinyals et al.2019 · 3,577 citations
  2. Speeding up Convolutional Neural Networks with Low Rank Expansions ↗British Machine Vision Conference (BMVC) · no summary yetMax Jaderberg, Andrea Vedaldi, Andrew Zisserman2014 · 1,210 citations
  3. Reading Text in the Wild with Convolutional Neural Networks ↗International Journal of Computer Vision · no summary yetMax Jaderberg et al.2015 · 1,208 citations
  4. Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2014 · 757 citations
  5. Human-level performance in 3D multiplayer games with population-based reinforcement learning ↗Science · no summary yetMax Jaderberg et al.2019 · 682 citations
  6. Deep Features for Text Spotting ↗Lecture notes in computer science · no summary yetMax Jaderberg, Andrea Vedaldi, Andrew Zisserman2014 · 653 citations
  7. Reinforcement Learning with Unsupervised Auxiliary TasksarXiv:1611.05397Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, et al.2016 · 319 citations
  8. Population Based Training of Neural Networks ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2017 · 310 citations
  9. FeUdal Networks for Hierarchical Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAlexander Vezhnevets et al.2017 · 272 citations
  10. Deep Structured Output Learning for Unconstrained Text Recognition ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2014 · 210 citations
  11. Spatial Transformer Networks ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2015 · 194 citations
  12. Grounded Language Learning in a Simulated 3D WorldarXiv:1706.06551Karl Moritz Hermann, Felix Hill, Simon Green, et al.2017 · 190 citations
  13. Decoupled Neural Interfaces using Synthetic Gradients ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2016 · 100 citations
  14. Understanding Synthetic Gradients and Decoupled Neural Interfaces ↗arXiv (Cornell University) · no summary yetWojciech Marian Czarnecki et al.2017 · 43 citations
  15. JADERBERG, VEDALDI, AND ZISSERMAN: SPEEDING UP CONVOLUTIONAL... 1 Speeding up Convolutional Neural Networks with Low Rank Expansions ↗no summary yetMax Jaderberg, Andrea Vedaldi, Andrew Zisserman2016
  16. Synthetic data and artificial neural networks for natural scene text recognition." arXiv preprint arXiv:1406.2227 ↗no summary yetMax Jaderberg et al.2014

 Co-authors here

12 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 752 times (of the 149,439 papers whose bibliographies we read); 53 citing papers with a page here →.

Updated

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