Most cited computer science papers
- Verified
The information bottleneck method
Tishby, N., Pereira, F. C., & Bialek, W. (2000) · arXiv
Neural Networks and ApplicationsStatistical Mechanics and Entropy
Cited by 2,626
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Random Walks for Image Segmentation
Grady, L. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Medical Image Segmentation TechniquesDigital Image Processing Techniques
Cited by 2,624
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Learning Hierarchical Features for Scene Labeling
Farabet, C., Couprie, C., Najman, L., & LeCun, Y. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 2,620
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Usability inspection methods
Nielsen, J. (1995) · Conference companion on Human factors in computing systems - CHI '95
Usability and User Interface DesignDigital Accessibility for Disabilities
Cited by 2,620
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Distributed entanglement
Coffman, V., Kundu, J., & Wootters, W. K. (2000) · Physical Review A
Quantum Information and CryptographyQuantum Mechanics and Applications
Cited by 2,619
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Decentralizing Privacy: Using Blockchain to Protect Personal Data
Zyskind, G., Nathan, O., & Pentland, A. '. (2015) · 2015 IEEE Security and Privacy Workshops
Blockchain Technology Applications and SecurityCryptography and Data Security
Cited by 2,617
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A Neural Algorithm of Artistic Style
Gatys, L., Ecker, A., & Bethge, M. (2016) · Journal of Vision
Generative Adversarial Networks and Image SynthesisAesthetic Perception and Analysis
Cited by 2,612
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Automated Hate Speech Detection and the Problem of Offensive Language
Davidson, T., Warmsley, D., Macy, M., & Weber, I. (2017) · Proceedings of the International AAAI Conference on Web and Social Media
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 2,610
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An Introduction to Variational Autoencoders
Kingma, D. P., & Welling, M. (2019) · Foundations and Trends® in Machine Learning
Gaussian Processes and Bayesian InferenceTopic Modeling
Cited by 2,609
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SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
Li, B., Wu, W., Wang, Q., Zhang, F., Xing, J., & Yan, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 2,607
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Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
Hansen, N., Müller, S. D., & Koumoutsakos, P. (2003) · Evolutionary Computation
Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications
Cited by 2,601
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The structure of ill structured problems
Simon, H. A. (1973) · Artificial Intelligence
AI-based Problem Solving and PlanningComplex Systems and Decision Making
Cited by 2,600
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PaLM: Scaling Language Modeling with Pathways
Chowdhery, A., Narang, S., Devlin, J., Bosma, M., Mishra, G., Roberts, A., Barham, P., Chung, H. W., Sutton, C., Gehrmann, S., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2,590
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Visual Contribution to Speech Intelligibility in Noise
Sumby, W. H., & Pollack, I. (1954) · The Journal of the Acoustical Society of America
Speech and Audio ProcessingPhonetics and Phonology Research
Cited by 2,583
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Microsoft COCO: Common Objects in Context
Lin, T.-Y., Maire, M., Belongie, S., Bourdev, L., Girshick, R., Hays, J., Perona, P., Ramanan, D., Zitnick, C. L., & Dollár, P. (2014) · arXiv
Human Pose and Action RecognitionAdvanced Neural Network Applications
Cited by 2,579
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ActivityNet: A large-scale video benchmark for human activity understanding
Heilbron, F. C., Escorcia, V., Ghanem, B., & Niebles, J. C. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Human Pose and Action RecognitionContext-Aware Activity Recognition Systems
Cited by 2,578
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Supervised learning with quantum-enhanced feature spaces
Havlíček, V., Córcoles, A. D., Temme, K., Harrow, A. W., Kandala, A., Chow, J. M., & Gambetta, J. M. (2019) · Nature
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 2,572
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All-optical machine learning using diffractive deep neural networks
Lin, X., Rivenson, Y., Yardimci, N. T., Veli, M., Luo, Y., Jarrahi, M., & Ozcan, A. (2018) · Science
Neural Networks and Reservoir ComputingMetamaterials and Metasurfaces Applications
Cited by 2,568
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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Ma, X., & Hovy, E. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 2,567
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Event-based vision: a survey
Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A. J., Conradt, J., Daniilidis, K., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Vision and ImagingAdvanced Memory and Neural Computing
Cited by 2,566
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Attention mechanisms in computer vision: A survey
Guo, M.-H., Xu, T.-X., Liu, J.-J., Liu, Z.-N., Jiang, P.-T., Mu, T.-J., Zhang, S.-H., Martin, R. R., Cheng, M.-M., & Hu, S.-M. (2022) · Computational Visual Media
Visual Attention and Saliency DetectionAdvanced Neural Network Applications
Cited by 2,566
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Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 2,565
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A contextual-bandit approach to personalized news article recommendation
Li, L., Chu, W., Langford, J., & Schapire, R. E. (2010) · Proceedings of the 19th international conference on World wide web
Recommender Systems and TechniquesAdvanced Bandit Algorithms Research
Cited by 2,562
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Digging Into Self-Supervised Monocular Depth Estimation
Godard, C., Aodha, O. M., Firman, M., & Brostow, G. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 2,561
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