Researcher
Alex Krizhevsky
Current role not listed
Career & education
University of TorontoWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
ImageNet Classification with Deep Convolutional Neural Networks
With Ilya Sutskever and Geoffrey HintonAlexNet sharply improved image recognition with a deep neural network.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Dropout reduces memorization by switching off parts of a neural network during training.
References
- AlexNet — original ImageNet paperpapers.nips.cc
Krizhevsky designed and trained AlexNet, the 2012 image-recognition network whose decisive ImageNet victory helped launch the deep-learning boom.
- CIFAR datasets — creators and image collectionscave.cs.toronto.edu
He also co-created the CIFAR image collections, widely used to test computer vision.
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Reviewed July 23, 2026 · Checked for accuracy and new information.