Alex Krizhevsky

Computer Science · Physical Sciences

14h-index146.3kcitations20works12719.52yr avg
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Research Topics

Advanced Neural Network Applications(6), Neural Networks and Applications(3), Reinforcement Learning in Robotics(3), Advanced Image and Video Retrieval Techniques(3), Robot Manipulation and Learning(3)

Publications20 total

How AI-Driven Predictive Analytics Are Reducing Hospital Readmissions and Improving Population Health Management
2026Open Access
Learning Multiple Layers of Features from Tiny Images
2024· 25.4k citedOpen Access
CIFAR-10 & CIFAR-100
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
CIFAR-10 & CIFAR-100
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
2019· 664 citedOpen Access
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
arXiv (Cornell University)·2018· 106 citedOpen Access
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing\n the Worst
arXiv (Cornell University)·2018· 13 citedOpen Access
Learning to Drive by Observing the Best and Synthesizing the Worst
2018
Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
The International Journal of Robotics Research·2017· 271 citedOpen Access
ImageNet classification with deep convolutional neural networks
Communications of the ACM·2017· 75.5k citedOpen Access
Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection
Springer proceedings in advanced robotics·2017· 274 cited
Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning\n and Large-Scale Data Collection
arXiv (Cornell University)·2016· 3 citedOpen Access
Pedestrian detection with a Large-Field-Of-View deep network
2015· 85 cited
Real-Time Pedestrian Detection with Deep Network Cascades
2015· 250 cited
One weird trick for parallelizing convolutional neural networks
arXiv (Cornell University)·2014· 983 citedOpen Access
Dropout: a simple way to prevent neural networks from overfitting
2014· 34.2k cited
Improving neural networks by preventing co-adaptation of feature detectors
arXiv (Cornell University)·2012· 6.6k citedOpen Access
Using very deep autoencoders for content-based image retrieval.
2011· 375 cited
Transforming Auto-Encoders
Lecture notes in computer science·2011· 1.3k cited
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images
2010· 194 cited

Frequent Co-authors

Geoffrey E. Hinton(8), Abhijit S. Ogale(5), Mayank Bansal(4), Ilya Sutskever(3), Sergey Levine(3), Deirdre Quillen(3), Nitish Srivastava(2), Ruslan Salakhutdinov(2), Peter Pástor(2), Anelia Angelova(2), Vincent Vanhoucke(2), Vinod Nair(2), Sida D. Wang(1), Dave Ferguson(1), Marc’Aurelio Ranzato(1), Peter Pastor(1), Farinu Hamzah(1)