Deep Learning Publications

Publications in Deep Learning

Explore the most influential research papers and scholarly works that have shaped Deep Learning. Use the concept filter below to focus on a specific sub-area of research.

Deep Learning

222.9K

Publications

18.1M

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, Image ClassificationDeep Neural NetworksMachine VisionImage AnalysisMachine Learning	2016	214.9K
Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba UvA-DARE (University of Amsterdam) Artificial IntelligenceMathematical ProgrammingModel OptimizationMachine VisionMachine Learning	2014	84.5K
ImageNet classification with deep convolutional neural networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton Communications of the ACM Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification	2017	75.5K
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan, Andrew Zisserman arXiv (Cornell University) Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningConvolutional Network Depth	2014	75.4K
ImageNet: A large-scale hierarchical image database Jia Deng, Wei Dong, Richard Socher, 2009 IEEE Conference on Computer Vision and Pattern Recognition EngineeringMachine LearningImage RetrievalImage DatabaseImage Recognition (Computer Vision)	2009	60.2K
Gradient-based learning applied to document recognition Yann LeCun, Léon Bottou, Yoshua Bengio, Proceedings of the IEEE EngineeringMachine LearningMultilayer Neural NetworksImage AnalysisData Science	1998	56.5K
Going deeper with convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Image ClassificationDeep Neural NetworksImage AnalysisMachine LearningData Science	2015	46.2K
Densely Connected Convolutional Networks Gao Huang, Zhuang Liu, Laurens van der Maaten, Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningDense Convolutional Network	2017	43.3K
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky, Jia Deng, Hao Su, International Journal of Computer Vision Image ClassificationConvolutional Neural NetworkMachine VisionImage AnalysisEngineering	2015	39.5K
Histograms of Oriented Gradients for Human Detection Navneet Dalal, Bill Triggs EngineeringFeature DetectionMachine LearningBiometricsOriented Gradients	2005	31.6K
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick, Jeff Donahue, Trevor Darrell, Convolutional Neural NetworkEngineeringMachine LearningFeature DetectionRich Feature Hierarchies	2014	31.2K
Rethinking the Inception Architecture for Computer Vision Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Convolutional Neural NetworkEngineeringMachine LearningInception ArchitectureImage Classification	2016	30.2K

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