Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. - Marc'Aurelio Ranzato; Alex Krizhevsky; Geoffrey E. Hinton (AISTATS, 2010)

Using very deep autoencoders for content-based image retrieval. - Alex Krizhevsky; Geoffrey E. Hinton (ESANN, 2011)

Transforming Auto-Encoders. - Geoffrey E. Hinton; Alex Krizhevsky; Sida D. Wang (ICANN (1), 2011)

Improving neural networks by preventing co-adaptation of feature detectors - Geoffrey E. Hinton; Nitish Srivastava; Alex Krizhevsky; Ilya Sutskever; Ruslan Salakhutdinov (CoRR, 2012)

One weird trick for parallelizing convolutional neural networks. - Alex Krizhevsky (CoRR, 2014)

Dropout: a simple way to prevent neural networks from overfitting. - Nitish Srivastava; Geoffrey E. Hinton; Alex Krizhevsky; Ilya Sutskever; Ruslan Salakhutdinov (J. Mach. Learn. Res., 2014)

Real-Time Pedestrian Detection with Deep Network Cascades. - Anelia Angelova; Alex Krizhevsky; Vincent Vanhoucke; Abhijit S. Ogale; Dave Ferguson (BMVC, 2015)

Pedestrian detection with a Large-Field-Of-View deep network. - Anelia Angelova; Alex Krizhevsky; Vincent Vanhoucke (ICRA, 2015)

Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection. - Sergey Levine; Peter Pastor; Alex Krizhevsky; Deirdre Quillen (ISER, 2016)

Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection. - Sergey Levine; Peter Pastor; Alex Krizhevsky; Deirdre Quillen (CoRR, 2016)

ImageNet classification with deep convolutional neural networks. - Alex Krizhevsky; Ilya Sutskever; Geoffrey E. Hinton (Commun. ACM, 2017)

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection. - Sergey Levine; Peter Pastor; Alex Krizhevsky; Julian Ibarz; Deirdre Quillen (Int. J. Robotics Res., 2018)

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. - Mayank Bansal; Alex Krizhevsky; Abhijit S. Ogale (Robotics: Science and Systems, 2019)