Most cited computer science papers
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Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence
Marchand, É., Durand, T., & Dubois, M. (2025) · Social Science Chronicle
Ethics and Social Impacts of AITechnology's Impact on Media
Cited by 5
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Episodic Memory in AI Agents Poses Risks that Should be Studied and Mitigated
DeChant, C. (2025) · 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
Ethics and Social Impacts of AIAI-based Problem Solving and Planning
Cited by 5
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Ovis: Structural Embedding Alignment for Multimodal Large Language Model
Lu, S., Li, Y., Chen, Q.-G., Xu, Z., Luo, W., Zhang, K., & Ye, H.-J. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 5
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Comparative Analysis of Facial Expression Recognition Systems for Evaluating Emotional States in Virtual Humans
Luz Junior, J. D. A., & Rodrigues, M. A. F. (2023) · Symposium on Virtual and Augmented Reality
Emotion and Mood RecognitionFace recognition and analysis
Cited by 5
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Procedural Generalization by Planning with Self-Supervised World Models
Anand, A., Walker, J., Li, Y., Vértes, E., Schrittwieser, J., Ozair, S., Weber, T., & Hamrick, J. B. (2021) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 5
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KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Yang, R., Liu, H., Marrese-Taylor, E., Zeng, Q., Ke, Y. H., Li, W., Cheng, L., Chen, Q., Caverlee, J., Matsuo, Y., et al. (2024) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 5
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Vision-Language Generative Model for View-Specific Chest X-ray Generation
Lee, H., Lee, D. Y., Kim, W., Kim, J.-H., Kim, T., Kim, J., Sunwoo, L., & Choi, E. (2023) · arXiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 5
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AI Sandbagging: Language Models can Strategically Underperform on Evaluations
van der Weij, T., Hofstätter, F., Jaffe, O., Brown, S. F., & Ward, F. R. (2024) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 5
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Efficient classical calculation of the Quantum Natural Gradient
Jones, T. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 5
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Localized explanations for automatically synthesized network configurations
Nazari, A., Zhang, Y., Raghothaman, M., & Chen, H. (2024) · Proceedings of the 23rd ACM Workshop on Hot Topics in Networks
Software-Defined Networks and 5GExplainable Artificial Intelligence (XAI)
Cited by 5
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In-Context Learning Learns Label Relationships but Is Not Conventional Learning
Kossen, J., Gal, Y., & Rainforth, T. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 5
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Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches
Sheng, T., & Huber, M. (2025) · Sensors
Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning
Cited by 5
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Function-Based Access Control (FBAC): Towards Preventing Insider Threats in Organizations
Desmedt, Y., & Shaghaghi, A. (2018) · Lecture Notes in Computer Science
Access Control and TrustCryptography and Data Security
Cited by 5
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Robust Vehicle Detection in Aerial Images Based on Image Spatial Pyramid Detection Model
Li, X., & Li, X. (2019) · 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 5
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Who do you want to be? Real-time face swap
den Uyl, T. M., Tasli, H. E., Ivan, P., & Snijdewind, M. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Face recognition and analysisGenerative Adversarial Networks and Image Synthesis
Cited by 5
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Bridging Knowledge Gaps in LLMs via Function Calls
Basu, K. (2024) · Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Topic ModelingNatural Language Processing Techniques
Cited by 5
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Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
Feng, Y., Lv, J., Cao, Y., Xie, X., & Zhou, S. K. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 5
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Visual Servoing
Chaumette, F. (2007) · Modeling, Performance Analysis and Control of Robot Manipulators
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 5
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A cognitive architecture theory of anticipatory thinking
Jones, S. J., & Laird, J. E. (2023) · AI Magazine
Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning
Cited by 5
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A fully automatic rigging algorithm for 3D character animation
Pantuwong, N., & Sugimoto, M. (2011) · SIGGRAPH Asia 2011 Posters
3D Shape Modeling and AnalysisHuman Motion and Animation
Cited by 5
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Mixture of Regressions with Multivariate Responses for Discovering Subtypes in Alzheimer’s Biomarkers with Detection Limits
Tian, G., Hanfelt, J., Lah, J., & Risk, B. B. (2024) · Data Science in Science
Bayesian Methods and Mixture ModelsDementia and Cognitive Impairment Research
Cited by 5
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SCM: Enhancing Large Language Model with Self-Controlled Memory Framework
Wang, B., Liang, X., Yang, J., Huang, H., Wu, S., Wu, P., Lu, L., Ma, Z., & Li, Z. (2023) · arXiv
Topic ModelingSpeech and dialogue systems
Cited by 5
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Trace Anomaly Detection for Microservice Systems via Graph-based Semi-supervised Learning
Ding, S., E, Y., Zhang, J., Li, L., Zhang, L., & Ge, J. (2024) · 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 5
- Verified · note
Software reliability: to use or not to use?
Lyu, M. R. (2002) · Proceedings of 1994 IEEE International Symposium on Software Reliability Engineering
Software Reliability and Analysis ResearchReliability and Maintenance Optimization
Cited by 5
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