Most cited computer science papers
- Verified
Greedy layer-wise training of deep networks
Bengio, Y., Lamblin, P., Popovici, D., & Larochelle, H. (2007) · Advances in Neural Information Processing Systems 19
Neural Networks and ApplicationsStochastic Gradient Optimization Techniques
Cited by 4,841
- Verified · note
Cumulated gain-based evaluation of IR techniques
Järvelin, K., & Kekäläinen, J. (2002) · ACM Transactions on Information Systems
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 4,841
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Zhou, Y., & Tuzel, O. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Advanced Neural Network Applications3D Shape Modeling and Analysis
Cited by 4,813
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Computer-Mediated Communication: Impersonal, Interpersonal, and Hyperpersonal Interaction
WALTHER, J. B. (1996) · Communication Research
Digital Communication and LanguageMedia and Digital Communication
Cited by 4,798
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A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage
Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications
Cited by 4,796
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Quantum machine learning
Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N., & Lloyd, S. (2017) · Nature
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 4,779
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An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 4,775
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A discrete binary version of the particle swarm algorithm
Kennedy, J., & Eberhart, R. C. (2002) · 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation
Metaheuristic Optimization Algorithms ResearchAntenna Design and Optimization
Cited by 4,767
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Membership Inference Attacks Against Machine Learning Models
Shokri, R., Stronati, M., Song, C., & Shmatikov, V. (2017) · 2017 IEEE Symposium on Security and Privacy (SP)
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 4,754
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Moses: open source toolkit for statistical machine translation
Koehn, P., Zens, R., Dyer, C., Bojar, O., Constantin, A., Herbst, E., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., et al. (2007) · Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions - ACL '07
Natural Language Processing TechniquesSpeech Recognition and Synthesis
Cited by 4,735
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Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience
Visual Attention and Saliency DetectionVisual perception and processing mechanisms
Cited by 4,733
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Deep Reinforcement Learning: A Brief Survey
Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · IEEE Signal Processing Magazine
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 4,733
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A Brief Survey of Deep Reinforcement Learning
Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 4,733
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, T., Aila, T., Laine, S., & Lehtinen, J. (2017) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 4,727
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Drug repurposing: progress, challenges and recommendations
Pushpakom, S., Iorio, F., Eyers, P. A., Escott, K. J., Hopper, S., Wells, A., Doig, A., Guilliams, T., Latimer, J., McNamee, C., et al. (2019) · Nature Reviews Drug Discovery
Computational Drug Discovery MethodsPharmaceutical Economics and Policy
Cited by 4,718
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The entity-relationship model—toward a unified view of data
Chen, P. P.-S. (1976) · ACM Transactions on Database Systems
Advanced Database Systems and QueriesEngineering and Information Technology
Cited by 4,708
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PointPillars: Fast Encoders for Object Detection From Point Clouds
Lang, A. H., Vora, S., Caesar, H., Zhou, L., Yang, J., & Beijbom, O. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network Applications3D Shape Modeling and Analysis
Cited by 4,673
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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Han, S., Mao, H., & Dally, W. J. (2015) · arXiv
Advanced Neural Network ApplicationsAdvanced Data Compression Techniques
Cited by 4,662
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A fast, lock-free approach for efficient parallel counting of occurrences of k -mers
Marçais, G., & Kingsford, C. (2011) · Bioinformatics
Algorithms and Data CompressionGenomics and Phylogenetic Studies
Cited by 4,661
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A review on genetic algorithm: past, present, and future
Katoch, S., Chauhan, S. S., & Kumar, V. (2021) · Multimedia Tools and Applications
Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications
Cited by 4,655
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An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Bai, S., Kolter, J. Z., & Koltun, V. (2018) · arXiv
Speech Recognition and SynthesisTopic Modeling
Cited by 4,655
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Sanh, V., Debut, L., Chaumond, J., & Wolf, T. (2019) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 4,653
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Matrix Analysis
Horn, R. A., & Johnson, C. R. (2012) · Cambridge University Press eBooks
Matrix Theory and AlgorithmsAdvanced Combinatorial Mathematics
Cited by 4,642
- Verified
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika
Bayesian Methods and Mixture ModelsStatistical Distribution Estimation and Applications
Cited by 4,640
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