Most cited computer science papers
- Verified
Three qubits can be entangled in two inequivalent ways
Dür, W., Vidal, G., & Cirac, J. I. (2000) · Physical Review A
Quantum Information and CryptographyQuantum Mechanics and Applications
Cited by 3,384
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A large annotated corpus for learning natural language inference
Bowman, S. R., Angeli, G., Potts, C., & Manning, C. D. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Natural Language Processing TechniquesTopic Modeling
Cited by 3,377
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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Lowe, R., Wu, Y., Tamar, A., Harb, J., Abbeel, P., & Mordatch, I. (2017) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 3,377
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The probabilistic relevance framework: BM25 and beyond
Robertson, S., & Zaragoza, H. (2009) · Foundations and Trends® in Information Retrieval
Information Retrieval and Search BehaviorAlgorithms and Data Compression
Cited by 3,374
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Object Tracking Benchmark
Wu, Y., Lim, J., & Yang, M.-H. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 3,371
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DehazeNet: An End-to-End System for Single Image Haze Removal
Cai, B., Xu, X., Jia, K., Qing, C., & Tao, D. (2016) · IEEE Transactions on Image Processing
Image Enhancement TechniquesAdvanced Image Processing Techniques
Cited by 3,367
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Diffusion Models Beat GANs on Image Synthesis
Dhariwal, P., & Nichol, A. (2021) · arXiv
Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning
Cited by 3,362
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Self-Attention Generative Adversarial Networks
Zhang, H., Goodfellow, I., Metaxas, D., & Odena, A. (2018) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 3,353
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SECOND: Sparsely Embedded Convolutional Detection
Yan, Y., Mao, Y., & Li, B. (2018) · Sensors
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 3,352
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Charge-insensitive qubit design derived from the Cooper pair box
Koch, J., Yu, T. M., Gambetta, J., Houck, A. A., Schuster, D. I., Majer, J., Blais, A., Devoret, M. H., Girvin, S. M., & Schoelkopf, R. J. (2007) · Physical Review A
Quantum Information and CryptographyQuantum Computing Algorithms and Architecture
Cited by 3,351
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HuggingFace's 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. (2019) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 3,347
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A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Williams, A., Nangia, N., & Bowman, S. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 3,342
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Machine Learning Applications in Cancer Prognosis and Prediction
Kourou, K., Exarchos, T. P., Exarchos, K. P., Karamouzis, M. V., & Fotiadis, D. I. (2015) · Computational and Structural Biotechnology Journal
AI in cancer detectionGene expression and cancer classification
Cited by 3,338
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Return of the Devil in the Details: Delving Deep into Convolutional Nets
Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 3,335
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A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Buczak, A. L., & Guven, E. (2016) · IEEE Communications Surveys & Tutorials
Network Security and Intrusion DetectionNetwork Packet Processing and Optimization
Cited by 3,332
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A few useful things to know about machine learning
Domingos, P. (2012) · Communications of the ACM
Machine Learning and AlgorithmsArtificial Intelligence Applications
Cited by 3,326
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Scene Parsing through ADE20K Dataset
Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., & Torralba, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 3,326
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Quantum Algorithm for Linear Systems of Equations
Harrow, A. W., Hassidim, A., & Lloyd, S. (2009) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 3,325
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Deep Reinforcement Learning with Double Q-Learning
Van Hasselt, H., Guez, A., & Silver, D. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 3,318
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 3,317
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Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Psychological and Biological Models
McClelland, J. L., Rumelhart, D. E., & AU (1987) · The MIT Press eBooks
Neural Networks and ApplicationsCognitive Science and Education Research
Cited by 3,315
- Verified
FaceForensics++: Learning to Detect Manipulated Facial Images
Rossler, A., Cozzolino, D., Verdoliva, L., Riess, C., Thies, J., & Niessner, M. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 3,314
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Protocols for secure computations
Yao, A. C. (1982) · 23rd Annual Symposium on Foundations of Computer Science (sfcs 1982)
Cryptography and Data SecurityInternet Traffic Analysis and Secure E-voting
Cited by 3,306
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The druggable genome
Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery
Computational Drug Discovery MethodsPharmacogenetics and Drug Metabolism
Cited by 3,305
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