Alex Krizhevsky
#6,597
Most Influential Person Now
Machine learning scientist
Alex Krizhevsky's AcademicInfluence.com Rankings
Alex Krizhevskycomputer-science Degrees
Computer Science
#359
World Rank
#374
Historical Rank
Machine Learning
#41
World Rank
#41
Historical Rank
Algorithms
#70
World Rank
#70
Historical Rank
Database
#1998
World Rank
#2096
Historical Rank
Download Badge
Computer Science
Why Is Alex Krizhevsky Influential?
(Suggest an Edit or Addition)According to Wikipedia, Alex Krizhevsky is a Ukrainian-born Canadian computer scientist most noted for his work on artificial neural networks and deep learning. Shortly after having won the ImageNet challenge in 2012 with AlexNet, he and his colleagues sold their startup, DNN Research Inc., to Google. Krizhevsky left Google in September 2017 after losing interest in the work, to work at the company Dessa in support of new deep-learning techniques. Many of his numerous papers on machine learning and computer vision are frequently cited by other researchers. He is the creator of the CIFAR-10 and CIFAR-100 datasets.
Alex Krizhevsky's Published Works
Published Works
- ImageNet classification with deep convolutional neural networks (2012) (96741)
- Dropout: a simple way to prevent neural networks from overfitting (2014) (32886)
- Learning Multiple Layers of Features from Tiny Images (2009) (22586)
- Improving neural networks by preventing co-adaptation of feature detectors (2012) (6887)
- Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection (2016) (1661)
- One weird trick for parallelizing convolutional neural networks (2014) (1034)
- Transforming Auto-Encoders (2011) (965)
- Convolutional Deep Belief Networks on CIFAR-10 (2010) (531)
- ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst (2018) (492)
- ImageNet Classification with Deep Convolutional Neural Networks (405)
- Using very deep autoencoders for content-based image retrieval (2011) (405)
- Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images (2010) (245)
- Real-Time Pedestrian Detection with Deep Network Cascades (2015) (237)
- Transforming Autoencoders (2011) (229)
- Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection (2016) (227)
- Pedestrian detection with a Large-Field-Of-View deep network (2015) (95)
- Number 20 (1998) (3)
- Learning to Drive by Observing the Best and Synthesizing the Worst (2018) (0)
- Caltech Pedestrian Dataset: Evaluated Algorithms (2013) (0)
- Detecting Handwritten Text from Forms using Deep Learning (2020) (0)
- Convolutional Neural Networks for Object Classi cation in CUDA (2009) (0)
This paper list is powered by the following services: