Standout Papers

ImageNet classification with deep convolutional neural net... 2011 2026 2016 2021 34.0k
  1. ImageNet classification with deep convolutional neural networks (2017)
    Alex Krizhevsky, Ilya Sutskever et al. Communications of the ACM
  2. Dropout: a simple way to prevent neural networks from overfitting (2014)
    Nitish Srivastava, Geoffrey E. Hinton et al. Journal of Machine Learning Research
  3. Using very deep autoencoders for content-based image retrieval. (2011)
    Alex Krizhevsky, Geoffrey E. Hinton The European Symposium on Artificial Neural Networks

Immediate Impact

26 by Nobel laureates 33 from Science/Nature 100 standout
Sub-graph 1 of 22

Citing Papers

Empowering biomedical discovery with AI agents
2024 Standout
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
2 intermediate papers

Works of Alex Krizhevsky being referenced

ImageNet classification with deep convolutional neural networks
2017 StandoutNobel
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel

Author Peers

Author Last Decade Papers Cites
Alex Krizhevsky 17086 20809 929 4863 5 51.7k
Ilya Sutskever 26901 23870 1405 5291 33 68.3k
Jia Deng 16147 25744 559 4811 27 43.6k
Karen Simonyan 14069 21411 885 4188 44 44.1k
Léon Bottou 13938 12689 415 1987 45 32.8k
Patrick Haffner 11107 10205 353 1687 24 27.2k
Ross Girshick 10012 31432 1955 3213 30 48.5k
Kai Li 9445 15092 307 2690 16 25.3k
Corinna Cortes 14128 8722 604 2107 55 44.4k
Li-Jia Li 11399 18057 336 2910 32 29.3k
Richard Socher 12893 16159 330 3120 45 30.4k

All Works

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