Check computer science papers: citations, claims and retractions

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 235,474

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 120,404

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112,155

Long Short-Term Memory

Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation

Neural Networks and ApplicationsHydrological Forecasting Using AI

Cited by 102,318

Adam: A Method for Stochastic Optimization

Kingma, D. P., & Ba, J. (2014) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 98,946

A Mathematical Theory of Communication

Shannon, C. E. (1948) · Bell System Technical Journal

Error Correcting Code TechniquesDiverse Interdisciplinary Research Studies

Cited by 88,486

Deep learning

LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 84,126

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 74,248

Scikit-learn: Machine Learning in Python

Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv

Computational Physics and Python ApplicationsMachine Learning and Data Classification

Cited by 71,016

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2015) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 70,812

VMD: visual molecular dynamics

Humphrey, W., Dalke, A., & Schulten, K. (1996) · Journal of Molecular Graphics

Computer Graphics and Visualization TechniquesProtein Structure and Dynamics

Cited by 66,952

ImageNet: A large-scale hierarchical image database

Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Image Retrieval and Classification TechniquesAdvanced Neural Network Applications

Cited by 65,333

Gradient-based learning applied to document recognition

Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 58,805

Particle swarm optimization

Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks

Metaheuristic Optimization Algorithms ResearchAntenna Design and Optimization

Cited by 58,192

Image quality assessment: from error visibility to structural similarity

Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 57,892

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 56,035

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 53,803

Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support

Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009) · Journal of Biomedical Informatics

Research Data Management PracticesElectronic Health Records Systems

Cited by 51,384

Maximum Likelihood from Incomplete Data Via the EM Algorithm

Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Bayesian Methods and Mixture ModelsStatistical Methods and Bayesian Inference

Cited by 50,444

A fast and elitist multiobjective genetic algorithm: NSGA-II

Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation

Advanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms Research

Cited by 50,053

Densely Connected Convolutional Networks

Huang, G., Liu, Z., van der Maaten, L., & Weinberger, K. Q. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 48,960

Densely Connected Convolutional Networks

Huang, G., Liu, Z., Van Der Maaten, L., & Weinberger, K. Q. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 48,566

Going deeper with convolutions

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 48,562

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 48,293