Most cited computer science papers
- Verified
Visual Instruction Tuning
Liu, H., Li, C., Wu, Q., & Lee, Y. J. (2023) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 682
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Backdoor Learning: A Survey
Li, Y., Jiang, Y., Li, Z., & Xia, S.-T. (2024) · IEEE Transactions on Neural Networks and Learning Systems
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 682
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IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
Xiao, L., Wan, X., Lu, X., Zhang, Y., & Wu, D. (2018) · IEEE Signal Processing Magazine
Network Security and Intrusion DetectionIoT and Edge/Fog Computing
Cited by 681
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The Unbearable Likeness of Being Digital: The Persistence of Nonverbal Social Norms in Online Virtual Environments
Yee, N., Bailenson, J. N., Urbanek, M., Chang, F., & Merget, D. (2007) · CyberPsychology & Behavior
Virtual Reality Applications and ImpactsDigital Games and Media
Cited by 681
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Explainability for Large Language Models: A Survey
Zhao, H., Chen, H., Yang, F., Liu, N., Deng, H., Cai, H., Wang, S., Yin, D., & Du, M. (2024) · ACM Transactions on Intelligent Systems and Technology
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 681
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SUPERB: Speech Processing Universal PERformance Benchmark
Yang, S.-W., Chi, P.-H., Chuang, Y.-S., Lai, C.-I. J., Lakhotia, K., Lin, Y. Y., Liu, A. T., Shi, J., Chang, X., Lin, G.-T., et al. (2021) · Interspeech 2021
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 681
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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
Teichmann, M., Weber, M., Zollner, M., Cipolla, R., & Urtasun, R. (2018) · 2018 IEEE Intelligent Vehicles Symposium (IV)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 681
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Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images
Al-Kofahi, Y., Lassoued, W., Lee, W., & Roysam, B. (2010) · IEEE Transactions on Biomedical Engineering
AI in cancer detectionCell Image Analysis Techniques
Cited by 681
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Cost-sensitive learning by cost-proportionate example weighting
Zadrozny, B., Langford, J., & Abe, N. (2004) · Third IEEE International Conference on Data Mining
Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Cited by 680
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Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices
Shahin, M., Ali Babar, M., & Zhu, L. (2017) · IEEE Access
Software Engineering Techniques and PracticesSoftware System Performance and Reliability
Cited by 680
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Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
Chen, X., Zhang, H., Wu, C., Mao, S., Ji, Y., & Bennis, M. (2019) · IEEE Internet of Things Journal
IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization
Cited by 680
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Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Kuznietsov, Y., Stuckler, J., & Leibe, B. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 680
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Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Tran, K.-T., Dao, D., Nguyen, M.-D., Pham, Q.-V., O'Sullivan, B., & Nguyen, H. D. (2025) · arXiv
Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems
Cited by 680
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The ApolloScape Dataset for Autonomous Driving
Huang, X., Cheng, X., Geng, Q., Cao, B., Zhou, D., Wang, P., Lin, Y., & Yang, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 679
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Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
Tam, G. K. L., Cheng, Z.-Q., Lai, Y.-K., Langbein, F. C., Liu, Y., Marshall, D., Martin, R. R., Sun, X.-F., & Rosin, P. L. (2013) · IEEE Transactions on Visualization and Computer Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 679
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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
Dou, Q., Chen, H., Yu, L., Zhao, L., Qin, J., Wang, D., Mok, V. C., Shi, L., & Heng, P.-A. (2016) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesIntracerebral and Subarachnoid Hemorrhage Research
Cited by 679
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Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues
Sun, Y., Peng, M., Zhou, Y., Huang, Y., & Mao, S. (2019) · IEEE Communications Surveys & Tutorials
Software-Defined Networks and 5GAdvanced Wireless Network Optimization
Cited by 678
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 678
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Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
Ding, J., Xue, N., Xia, G.-S., Bai, X., Yang, W., Yang, M. Y., Belongie, S., Luo, J., Datcu, M., Pelillo, M., et al. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 678
- Verified
Adversarial Attacks and Defenses in Deep Learning
Ren, K., Zheng, T., Qin, Z., & Liu, X. (2020) · Engineering
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 678
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Causal Models: How People Think about the World and Its Alternatives
Sloman, S. (2005)
Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge
Cited by 677
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PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning
Wang, Y., Wu, H., Zhang, J., Gao, Z., Wang, J., Yu, P. S., & Long, M. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 677
- Verified
4-points congruent sets for robust pairwise surface registration
Aiger, D., Mitra, N. J., & Cohen-Or, D. (2008) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 677
- Verified
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
Criminisi, A., Shotton, J., & Konukoglu, E. (2012) · Foundations and Trends® in Computer Graphics and Vision
Machine Learning and AlgorithmsNeural Networks and Applications
Cited by 677
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