Most cited computer science papers
- Verified
The Limitations of Deep Learning in Adversarial Settings
Papernot, N., McDaniel, P., Jha, S., Fredrikson, M., Celik, Z. B., & Swami, A. (2016) · 2016 IEEE European Symposium on Security and Privacy (EuroS&P)
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 3,993
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iCaRL: Incremental Classifier and Representation Learning
Rebuffi, S.-A., Kolesnikov, A., Sperl, G., & Lampert, C. H. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningData Stream Mining Techniques
Cited by 3,988
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Spectral Networks and Locally Connected Networks on Graphs
Bruna, J., Zaremba, W., Szlam, A., & LeCun, Y. (2013) · arXiv
Advanced Graph Neural NetworksNeural Networks and Applications
Cited by 3,983
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Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research
AI in Service InteractionsImpact of AI and Big Data on Business and Society
Cited by 3,978
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Hmdb: a large video database for human motion recognition
Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., & Serre, T. (2011) · 2011 International Conference on Computer Vision
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 3,965
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Practical Secure Aggregation for Privacy-Preserving Machine Learning
Bonawitz, K., Ivanov, V., Kreuter, B., Marcedone, A., McMahan, H. B., Patel, S., Ramage, D., Segal, A., & Seth, K. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security
Cryptography and Data SecurityPrivacy-Preserving Technologies in Data
Cited by 3,956
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PubChem in 2021: new data content and improved web interfaces
Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., et al. (2021) · Nucleic Acids Research
Research Data Management PracticesComputational Drug Discovery Methods
Cited by 3,953
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BIRCH: an efficient data clustering method for very large databases
Zhang, T., Ramakrishnan, R., & Livny, M. (1996) · Proceedings of the 1996 ACM SIGMOD international conference on Management of data - SIGMOD '96
Advanced Clustering Algorithms ResearchData Management and Algorithms
Cited by 3,935
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Knowledge Distillation: A Survey
Gou, J., Yu, B., Maybank, S. J., & Tao, D. (2021) · International Journal of Computer Vision
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 3,931
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Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins
Cramer, R. D., Patterson, D. E., & Bunce, J. D. (1988) · Journal of the American Chemical Society
Computational Drug Discovery MethodsProtein Interaction Studies and Fluorescence Analysis
Cited by 3,931
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A direct adaptive method for faster backpropagation learning: the RPROP algorithm
Riedmiller, M., & Braun, H. (2002) · IEEE International Conference on Neural Networks
Neural Networks and ApplicationsStochastic Gradient Optimization Techniques
Cited by 3,917
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Knowledge Graph Embedding by Translating on Hyperplanes
Wang, Z., Zhang, J., Feng, J., & Chen, Z. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Graph Neural NetworksTopic Modeling
Cited by 3,915
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Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Shor, P. W. (1999) · SIAM Review
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 3,904
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Beamforming: a versatile approach to spatial filtering
Van Veen, B. D., & Buckley, K. M. (1988) · IEEE ASSP Magazine
Direction-of-Arrival Estimation TechniquesSpeech and Audio Processing
Cited by 3,901
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DrugBank: a comprehensive resource for in silico drug discovery and exploration
Wishart, D. S. (2006) · Nucleic Acids Research
Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies
Cited by 3,892
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Gradient boosting machines, a tutorial
Natekin, A., & Knoll, A. (2013) · Frontiers in Neurorobotics
Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Cited by 3,887
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Guidelines for conducting and reporting case study research in software engineering
Runeson, P., & Höst, M. (2009) · Empirical Software Engineering
Software Engineering Techniques and PracticesQualitative Comparative Analysis Research
Cited by 3,862
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Quantum information with continuous variables
Braunstein, S. L., & van Loock, P. (2005) · Reviews of Modern Physics
Quantum Information and CryptographyQuantum optics and atomic interactions
Cited by 3,858
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The Algorithmic Foundations of Differential Privacy
Dwork, C., & Roth, A. (2013) · now publishers, Inc. eBooks
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 3,856
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Tangible bits: towards seamless interfaces between people, bits and atoms
Ishii, H., & Ullmer, B. (1997) · Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Interactive and Immersive DisplaysInnovative Human-Technology Interaction
Cited by 3,853
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Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Grill, J.-B., Strub, F., Altché, F., Tallec, C., Richemond, P. H., Buchatskaya, E., Doersch, C., Pires, B. A., Guo, Z. D., Azar, M. G., et al. (2020) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 3,846
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Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
Dietterich, T. G. (1998) · Neural Computation
Machine Learning and Data ClassificationMachine Learning and Algorithms
Cited by 3,840
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Neural Graph Collaborative Filtering
Wang, X., He, X., Wang, M., Feng, F., & Chua, T.-S. (2019) · Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Recommender Systems and TechniquesAdvanced Graph Neural Networks
Cited by 3,823
- Verified
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
Jaeger, H., & Haas, H. (2004) · Science
Neural Networks and Reservoir ComputingNeural Networks and Applications
Cited by 3,811
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