Alex Krizhevsky
Alex Krizhevsky is an AI researcher who co-authored the 2012 paper on deep convolutional networks for ImageNet classification. He completed an MSc thesis on tiny-image features in 2009, joined Google in 2013, and co-authored 2017 research on robotic grasping. After leaving Google in 2017, he worked at Dessa on deep-learning techniques. NeurIPS selected the AlexNet paper for its Test of Time Award in 2022, and since 2025 he has served as a venture partner at Two Bear Capital.
- Now at
- Dessa
- Works
- 31
- Citations
- 174,669
- h-index
- 15
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2009
A thesis on tiny images
He completes an MSc thesis titled 'Learning Multiple Layers of Features from Tiny Images' in 2009.
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2012
ImageNet classification
In 2012, he co-authors a paper with Ilya Sutskever and Geoffrey Hinton that trains a deep convolutional network to classify 1.3 million ImageNet training images into 1,000 classes.
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March 2013–September 2017
Google research and robotic grasping
He joins Google in March 2013 and works in Mountain View through September 2017. In 2017, he co-authors a robotics paper with Sergey Levine, Peter Pastor Sampedro, Julian Ibarz, and Deirdre Quillen; its convolutional network predicts grasp success from monocular camera images.
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September 2017
Leaving Google for Dessa
He leaves Google in September 2017 to work at Dessa on new deep-learning techniques.
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2022
A Test of Time Award
NeurIPS selects the AlexNet paper for its Test of Time Award in 2022.
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Since 2025
Two Bear Capital partner
He joins Two Bear Capital as a venture partner in 2025, focusing on early-stage AI and technology.
Sources and credits
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- Alex Krizhevsky
- ImageNet Classification with Deep Convolutional Neural Networks
- Google Hires Brains that Helped Supercharge Machine Learning
- Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection
- Alex Krizhevsky - Wikipedia
- Announcing the NeurIPS 2022 Awards
- Alex Krizhevsky | alphaXiv