Check computer science papers: citations, claims and retractions

Understanding deep learning requires rethinking generalization

Zhang, C., Bengio, S., Hardt, M., Recht, B., & Vinyals, O. (2016) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 2,838

Deep Learning for Anomaly Detection: A Review

Pang, G., Shen, C., Cao, L., & Hengel, A. V. D. (2022) · ACM Computing Surveys

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 2,837

Learning to rank using gradient descent

Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., & Hullender, G. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 2,836

The emergence of edge computing

Satyanarayanan, M. (2017) · Computer

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 2,832

One millisecond face alignment with an ensemble of regression trees

Kazemi, V., & Sullivan, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 2,831

Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations

Sudre, C. H., Li, W., Vercauteren, T., Ourselin, S., & Jorge Cardoso, M. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 2,829

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Feng, Z., Guo, D., Tang, D., Duan, N., Feng, X., Gong, M., Shou, L., Qin, B., Liu, T., Jiang, D., et al. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Software Engineering ResearchTopic Modeling

Cited by 2,824

Entanglement of a pair of quantum bits

Hill, S., & Wootters, W. K. (1997) · Physical Review Letters

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 2,823

Human-level concept learning through probabilistic program induction

Lake, B. M., Salakhutdinov, R., & Tenenbaum, J. B. (2015) · Science

Domain Adaptation and Few-Shot LearningBayesian Modeling and Causal Inference

Cited by 2,817

Learning Multi-domain Convolutional Neural Networks for Visual Tracking

Nam, H., & Han, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 2,806

ECO: Efficient Convolution Operators for Tracking

Danelljan, M., Bhat, G., Khan, F. S., & Felsberg, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 2,805

Adaptive Control Processes: A Guided Tour

Bellman, R. E. (1961) · Princeton University Press eBooks

Adaptive Dynamic Programming ControlAdvanced Control Systems Optimization

Cited by 2,802

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Campanella, G., Hanna, M. G., Geneslaw, L., Miraflor, A., Werneck Krauss Silva, V., Busam, K. J., Brogi, E., Reuter, V. E., Klimstra, D. S., & Fuchs, T. J. (2019) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 2,799

A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications

Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 2,793

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Shen, J., Pang, R., Weiss, R. J., Schuster, M., Jaitly, N., Yang, Z., Chen, Z., Zhang, Y., Wang, Y., Skerrv-Ryan, R., et al. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 2,791

Password authentication with insecure communication

Lamport, L. (1981) · Communications of the ACM

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 2,789

Lattice-gas automata for the Navier-Stokes equation

Frisch, U., Hasslacher, B., & Pomeau, Y. (1986) · Physical Review Letters

Cellular Automata and ApplicationsLattice Boltzmann Simulation Studies

Cited by 2,788

Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

Tjong Kim Sang, E. F., & De Meulder, F. (2003) · Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -

Topic ModelingNatural Language Processing Techniques

Cited by 2,788

A Review of Yolo Algorithm Developments

Jiang, P., Ergu, D., Liu, F., Cai, Y., & Ma, B. (2022) · Procedia Computer Science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,783

An empirical comparison of supervised learning algorithms

Caruana, R., & Niculescu-Mizil, A. (2006) · Proceedings of the 23rd international conference on Machine learning - ICML '06

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 2,780

Platemo: a matlab platform for evolutionary multi-objective optimization [educational forum]

Tian, Y., Cheng, R., Zhang, X., & Jin, Y. (2017) · IEEE Computational Intelligence Magazine

Advanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications

Cited by 2,777

Improved regularization of convolutional neural networks with cutout

DeVries, T., & Taylor, G. W. (2017) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 2,776

Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making

Jarrahi, M. H. (2018) · Business Horizons

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 2,772

ViViT: A Video Vision Transformer

Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lucic, M., & Schmid, C. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 2,767