Most cited computer science papers
- Verified
Reinforcement Learning: A Survey
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996) · Journal of Artificial Intelligence Research
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 8,972
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A ConvNet for the 2020s
Liu, Z., Mao, H., Wu, C.-Y., Feichtenhofer, C., Darrell, T., & Xie, S. (2022) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 8,924
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QuPath: Open source software for digital pathology image analysis
Bankhead, P., Loughrey, M. B., Fernández, J. A., Dombrowski, Y., McArt, D. G., Dunne, P. D., McQuaid, S., Gray, R. T., Murray, L. J., Coleman, H. G., et al. (2017) · Scientific Reports
AI in cancer detectionCell Image Analysis Techniques
Cited by 8,908
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Speech recognition with deep recurrent neural networks
Graves, A., Mohamed, A.-R., & Hinton, G. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 8,893
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User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability.
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 8,868
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Conditional Generative Adversarial Nets
Mirza, M., & Osindero, S. (2014) · arXiv
Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning
Cited by 8,863
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Towards Evaluating the Robustness of Neural Networks
Carlini, N., & Wagner, D. (2017) · 2017 IEEE Symposium on Security and Privacy (SP)
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 8,859
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A fast quantum mechanical algorithm for database search
Grover, L. K. (1996) · Proceedings of the twenty-eighth annual ACM symposium on Theory of computing - STOC '96
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 8,830
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Quantum Computing in the NISQ era and beyond
Preskill, J. (2018) · Quantum
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 8,830
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 8,821
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BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8,816
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Transformers: State-of-the-Art Natural Language Processing
Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., et al. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Topic ModelingNatural Language Processing Techniques
Cited by 8,741
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Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal
IoT and Edge/Fog ComputingEnergy Efficiency in Computing
Cited by 8,733
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Algorithms for quantum computation: discrete logarithms and factoring
Shor, P. W. (2002) · Proceedings 35th Annual Symposium on Foundations of Computer Science
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 8,713
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Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage
Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications
Cited by 8,676
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Performance analysis of the IEEE 802.11 distributed coordination function
Bianchi, G. (2000) · IEEE Journal on Selected Areas in Communications
Wireless Networks and ProtocolsNetwork Traffic and Congestion Control
Cited by 8,651
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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials
IoT and Edge/Fog ComputingIoT Networks and Protocols
Cited by 8,630
- Verified · note
Whole Brain Segmentation
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron
Medical Image Segmentation TechniquesBrain Tumor Detection and Classification
Cited by 8,610
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k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Privacy-Preserving Technologies in DataAccess Control and Trust
Cited by 8,571
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Learning long-term dependencies with gradient descent is difficult
Bengio, Y., Simard, P., & Frasconi, P. (1994) · IEEE Transactions on Neural Networks
Neural Networks and ApplicationsNeural Networks and Reservoir Computing
Cited by 8,542
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Quantum cryptography
Gisin, N., Ribordy, G., Tittel, W., & Zbinden, H. (2002) · Reviews of Modern Physics
Quantum Information and CryptographyQuantum Computing Algorithms and Architecture
Cited by 8,515
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Finn, C., Abbeel, P., & Levine, S. (2017) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 8,512
- Verified
A ConvNet for the 2020s
Liu, Z., Mao, H., Wu, C.-Y., Feichtenhofer, C., Darrell, T., & Xie, S. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 8,494
- Verified
Masked Autoencoders Are Scalable Vision Learners
He, K., Chen, X., Xie, S., Li, Y., Dollar, P., & Girshick, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 8,489
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