Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
Multidimensional binary search trees used for associative searching
Jon Louis Bentley. 1975 · 1975
Earlier work this paper cites.
Self organizing neural networks for the identification problem
Manoel Tenorio and Wei-Tsih Lee. 1988 · 1988
Earlier work this paper cites.
Designing Neural Networks Using Genetic Algorithms.. In ICGA , Vol. 89. 379–384
Geoffrey F Miller, Peter M Todd, and Shailesh U Hegde. 1989 · 1989
Earlier work this paper cites.
Evolving neural networks through augmenting topologies
Kenneth O Stanley and Risto Miikkulainen. 2002 · 2002
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition . Ieee, 248–255
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
Earlier work this paper cites.
Learning multiple layers of features from tiny images
Alex Krizhevsky, Geoffrey Hinton, et al · 2009
Earlier work this paper cites.
Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT’2010: 19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers . Springer, 177–186
Léon Bottou. 2010 · 2010
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines. In Proceedings of the 27th international conference on machine learning (ICML-10) . 807–814
Vinod Nair and Geoffrey E Hinton. 2010 · 2010
Earlier work this paper cites.
Transfer learning
Lisa Torrey and Jude Shavlik. 2010 · 2010
Earlier work this paper cites.
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore, and Jean-Baptiste Mouret. 2015 · 2015
Earlier work this paper cites.
Euclidean distance matrices: essential theory, algorithms, and applications
Ivan Dokmanic, Reza Parhizkar, Juri Ranieri, and Martin Vetterli. 2015 · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning . pmlr, 448–456
Sergey Ioffe and Christian Szegedy. 2015 · 2015
Earlier work this paper cites.
Illuminating search spaces by mapping elites
Original
Jean-Baptiste Mouret and Jeff Clune. 2015 · 2015
Earlier work this paper cites.
Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Earlier work this paper cites.
Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition . 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
Quality diversity: A new frontier for evolutionary computation
Justin K Pugh, Lisa B Soros, and Kenneth O Stanley. 2016 · 2016
Earlier work this paper cites.
Efficient hardware implementation of radial basis function neural network with customized-precision floating-point operations
Helon Vicente Hultmann Ayala, Daniel M Muñoz, Carlos H Llanos, and Leandro dos Santos Coelho. 2017 · 2017
Earlier work this paper cites.