Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Max Jaderberg"'
Autor:
Tom Schaul, David Silver, James Molloy, Junhyuk Oh, Katrina McKinney, Oriol Vinyals, David H. Choi, Junyoung Chung, Tobias Pohlen, Dani Yogatama, Tobias Pfaff, Demis Hassabis, Michael Mathieu, Dan Horgan, Ivo Danihelka, Igor Babuschkin, Dario Wünsch, Tom Le Paine, Yury Sulsky, Wojciech Marian Czarnecki, Rémi Leblond, Ziyu Wang, Andrew Dudzik, Trevor Cai, Chris Apps, Yuhuai Wu, David Budden, Valentin Dalibard, Timo Ewalds, Oliver Smith, John P. Agapiou, Aja Huang, Roman Ring, Petko Georgiev, Max Jaderberg, Koray Kavukcuoglu, Alexander Vezhnevets, Caglar Gulcehre, Manuel Kroiss, Laurent Sifre, Richard E. Powell, Timothy P. Lillicrap
Publikováno v:
Nature. 575:350-354
Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal, the domain of StarCraft has emerged as an important challenge for artificial intelligence re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d298c946101431edcf15241ecf98a28
https://doi.org/10.1038/s41586-019-1724-z
https://doi.org/10.1038/s41586-019-1724-z
Autor:
Sagi Perel, Ang Li, David Budden, Valentin Dalibard, Tim Harley, Pramod Gupta, Chenjie Gu, Ola Spyra, Max Jaderberg
Publikováno v:
KDD
Population Based Training (PBT) is a recent approach that jointly optimizes neural network weights and hyperparameters which periodically copies weights of the best performers and mutates hyperparameters during training. Previous PBT implementations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c7596d67ebb76da7226bd41823a905f
http://arxiv.org/abs/1902.01894
http://arxiv.org/abs/1902.01894
Autor:
Iain Dunning, Nicolas Sonnerat, Max Jaderberg, Guy Lever, Tim Green, Louise Deason, Neil C. Rabinowitz, David Silver, Koray Kavukcuoglu, Ari S. Morcos, Joel Z. Leibo, Demis Hassabis, Antonio García Castañeda, Luke Marris, Thore Graepel, Avraham Ruderman, Wojciech Marian Czarnecki, Charles Beattie
Publikováno v:
Science (New York, N.Y.). 364(6443)
Artificial teamworkArtificially intelligent agents are getting better and better at two-player games, but most real-world endeavors require teamwork. Jaderberget al.designed a computer program that excels at playing the video gameQuake III Arenain Ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::786d1a7ba7fa8feaee6d0c36194d6c8c
https://pubmed.ncbi.nlm.nih.gov/31147514
https://pubmed.ncbi.nlm.nih.gov/31147514
Autor:
Dylan Banarse, Chrisantha Fernando, Malcolm Reynolds, Max Jaderberg, David Pfau, Marc Lanctot, Daan Wierstra, Frederic Besse
Publikováno v:
GECCO
In this work we introduce a differentiable version of the Compositional Pattern Producing Network, called the DPPN. Unlike a standard CPPN, the topology of a DPPN is evolved but the weights are learned. A Lamarckian algorithm, that combines evolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf1435d82e26177d492ef9a9ea17d94
https://doi.org/10.1145/2908812.2908890
https://doi.org/10.1145/2908812.2908890
Autor:
Max Jaderberg
This thesis addresses the problem of text spotting - being able to automatically detect and recognise text in natural images. Developing text spotting systems, systems capable of reading and therefore better interpreting the visual world, is a challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::198637d435a400767c6bfd7269622650
http://ora.ox.ac.uk/objects/uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e
http://ora.ox.ac.uk/objects/uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e
Publikováno v:
Computer Vision – ECCV 2014 ISBN: 9783319105925
ECCV (4)
ECCV (4)
The goal of this work is text spotting in natural images. This is divided into two sequential tasks: detecting words regions in the image, and recognizing the words within these regions. We make the following contributions: first, we develop a Convol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d48d4ca2db93836caab5835a380a9a6a
https://doi.org/10.1007/978-3-319-10593-2_34
https://doi.org/10.1007/978-3-319-10593-2_34
In this work we present an end-to-end system for text spotting -- localising and recognising text in natural scene images -- and text based image retrieval. This system is based on a region proposal mechanism for detection and deep convolutional neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ca12c7f3106c77c0e897d570cee5ff0
Publikováno v:
BMVC
Scopus-Elsevier
Scopus-Elsevier
The focus of this paper is speeding up the application of convolutional neural networks. While delivering impressive results across a range of computer vision and machine learning tasks, these networks are computationally demanding, limiting their de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b840acf4899ace6a35722f9e7fcb1420
https://doi.org/10.5244/c.28.88
https://doi.org/10.5244/c.28.88