Check computer science papers: citations, claims and retractions

BLEU: a method for automatic evaluation of machine translation

Papineni, K., Roukos, S., Ward, T., & Zhu, W.-J. (2001) · Proceedings of the 40th Annual Meeting on Association for Computational Linguistics - ACL '02

Natural Language Processing TechniquesTopic Modeling

Cited by 21,344

Multiple View Geometry in Computer Vision

Hartley, R., & Zisserman, A. (2004) · Cambridge University Press eBooks

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 21,070

Reducing the dimensionality of data with neural networks

Hinton, G. E., & Salakhutdinov, R. R. (2006) · Science

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 20,928

Xception: Deep Learning with Depthwise Separable Convolutions

Chollet, F. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20,380

Auto-Encoding Variational Bayes

Kingma, D. P., & Welling, M. (2013) · arXiv

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 20,067

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20,063

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20,054

YOLO9000: Better, Faster, Stronger

Redmon, J., & Farhadi, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19,892

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

He, K., Zhang, X., Ren, S., & Sun, J. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 19,741

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Badrinarayanan, V., Kendall, A., & Cipolla, R. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19,631

Neural networks and physical systems with emergent collective computational abilities.

Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 19,270

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Howard, A. G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., & Adam, H. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19,015

Deep learning in neural networks: an overview

Schmidhuber, J. (2015) · Neural Networks

Neural Networks and ApplicationsMachine Learning and Algorithms

Cited by 18,570

MapReduce: simplified data processing on large clusters

Dean, J., & Ghemawat, S. (2008) · Communications of the ACM

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 18,476

The FAIR Guiding Principles for scientific data management and stewardship

Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data

Research Data Management PracticesScientific Computing and Data Management

Cited by 18,423

Generative adversarial networks

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020) · Communications of the ACM

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 18,384

SwissADME: A free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules

Daina, A., Michielin, O., & Zoete, V. (2017) · Scientific Reports

Computational Drug Discovery MethodsAdvanced Chemical Physics Studies

Cited by 18,367

Rapid object detection using a boosted cascade of simple features

Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001

Face recognition and analysisAdvanced Image and Video Retrieval Techniques

Cited by 18,300

End-to-End Object Detection with Transformers

Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., & Zagoruyko, S. (2020) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 18,285

End-to-End Object Detection with Transformers

Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., & Zagoruyko, S. (2020) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 18,253

Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.

Geman, S., & Geman, D. (1984) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 17,949

Sequence to Sequence Learning with Neural Networks

Sutskever, I., Vinyals, O., & Le, Q. V. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 17,766

The WEKA data mining software: an update

Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009) · ACM SIGKDD Explorations Newsletter

Data Mining and Machine Learning ApplicationsData Mining Algorithms and Applications

Cited by 17,750

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 17,555