Most cited computer science papers
- Verified
Self-supervised learning for medical image classification: a systematic review and implementation guidelines
Huang, S.-C., Pareek, A., Jensen, M., Lungren, M. P., Yeung, S., & Chaudhari, A. S. (2023) · npj Digital Medicine
Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education
Cited by 479
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On the automatic modularization of software systems using the Bunch tool
Mitchell, B. S., & Mancoridis, S. (2006) · IEEE Transactions on Software Engineering
Software Engineering ResearchAdvanced Software Engineering Methodologies
Cited by 479
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Copy detection mechanisms for digital documents
Brin, S., Davis, J., & García-Molina, H. (1995) · Proceedings of the 1995 ACM SIGMOD international conference on Management of data - SIGMOD '95
Digital Rights Management and SecurityAdvanced Steganography and Watermarking Techniques
Cited by 479
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Determining the initial states in forward-backward filtering
Gustafsson, F. (1996) · IEEE Transactions on Signal Processing
Target Tracking and Data Fusion in Sensor NetworksControl Systems and Identification
Cited by 479
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The human factors of computer graphics interaction techniques
Foley, J. D., Wallace, V. L., & Chan, P. (1984) · IEEE Computer Graphics and Applications
Interactive and Immersive DisplaysData Visualization and Analytics
Cited by 478
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Discovering faster matrix multiplication algorithms with reinforcement learning
Fawzi, A., Balog, M., Huang, A., Hubert, T., Romera-Paredes, B., Barekatain, M., Novikov, A., R. Ruiz, F. J., Schrittwieser, J., Swirszcz, G., et al. (2022) · Nature
Complexity and Algorithms in GraphsArtificial Intelligence Applications
Cited by 478
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The Faiss Library
Douze, M., Guzhva, A., Deng, C., Johnson, J., Szilvasy, G., Mazaré, P.-E., Lomeli, M., Hosseini, L., & Jégou, H. (2026) · IEEE Transactions on Big Data
Advanced Image and Video Retrieval TechniquesTopic Modeling
Cited by 478
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Deep Supervised Cross-Modal Retrieval
Zhen, L., Hu, P., Wang, X., & Peng, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Image and Video Retrieval TechniquesMultimodal Machine Learning Applications
Cited by 478
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Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Vecerik, M., Hester, T., Scholz, J., Wang, F., Pietquin, O., Piot, B., Heess, N., Rothörl, T., Lampe, T., & Riedmiller, M. (2017) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 478
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PTR: Prompt Tuning with Rules for Text Classification
Han, X., Zhao, W., Ding, N., Liu, Z., & Sun, M. (2021) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 478
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Ascon v1.2: Lightweight Authenticated Encryption and Hashing
Dobraunig, C., Eichlseder, M., Mendel, F., & Schläffer, M. (2021) · Journal of Cryptology
Cryptographic Implementations and SecurityCoding theory and cryptography
Cited by 478
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Early prediction of circulatory failure in the intensive care unit using machine learning
Hyland, S. L., Faltys, M., Hüser, M., Lyu, X., Gumbsch, T., Esteban, C., Bock, C., Horn, M., Moor, M., Rieck, B., et al. (2020) · Nature Medicine
Machine Learning in HealthcareHealthcare Technology and Patient Monitoring
Cited by 477
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Discrimination in Online Ad Delivery: Google ads, black names and white names, racial discrimination, and click advertising
Sweeney, L. (2013) · Queue
Ethics and Social Impacts of AINames, Identity, and Discrimination Research
Cited by 477
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SentEval: An Evaluation Toolkit for Universal Sentence Representations
Conneau, A., & Kiela, D. (2018) · arXiv
Topic ModelingSentiment Analysis and Opinion Mining
Cited by 477
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Map-Based Precision Vehicle Localization in Urban Environments
Levinson, J., Montemerlo, M., & Thrun, S. (2007) · Robotics: Science and Systems III
Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety
Cited by 477
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FairFuzz: a targeted mutation strategy for increasing greybox fuzz testing coverage
Lemieux, C., & Sen, K. (2018) · Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
Software Testing and Debugging TechniquesSecurity and Verification in Computing
Cited by 477
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HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Shen, Y., Song, K., Tan, X., Li, D., Lu, W., & Zhuang, Y. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 477
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Data Augmentation Using Random Image Cropping and Patching for Deep CNNs
Takahashi, R., Matsubara, T., & Uehara, K. (2020) · IEEE Transactions on Circuits and Systems for Video Technology
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 477
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Ethical and social risks of harm from Language Models
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al. (2021) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 477
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Shor’s Quantum Factoring Algorithm on a Photonic Chip
Politi, A., Matthews, J. C. F., & O'Brien, J. L. (2009) · Science
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 477
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Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences
Gramacy, R. B. (2020) · Chapman & Hall/CRC eBooks
Gaussian Processes and Bayesian InferenceSimulation Techniques and Applications
Cited by 477
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Understanding of Object Detection Based on CNN Family and YOLO
Du, J. (2018) · Journal of Physics: Conference Series
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 477
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Towards wearable cognitive assistance
Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., & Satyanarayanan, M. (2014) · Proceedings of the 12th annual international conference on Mobile systems, applications, and services
Context-Aware Activity Recognition SystemsIoT and Edge/Fog Computing
Cited by 476
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Generalization in quantum machine learning from few training data
Caro, M. C., Huang, H.-Y., Cerezo, M., Sharma, K., Sornborger, A., Cincio, L., & Coles, P. J. (2022) · Nature Communications
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 476
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