Check computer science papers: citations, claims and retractions

Controlling generalization and polyvariance in partial deduction of normal logic programs

Leuschel, M., Martens, B., & De Schreye, D. (1998) · ACM Transactions on Programming Languages and Systems

Logic, programming, and type systemsLogic, Reasoning, and Knowledge

Cited by 88

A survey on context awareness

Liu, W., Li, X., & Huang, D. (2011) · 2011 International Conference on Computer Science and Service System (CSSS)

Context-Aware Activity Recognition SystemsInnovation in Digital Healthcare Systems

Cited by 88

Experience sampling for building predictive user models: a comparative study

Kapoor, A., & Horvitz, E. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingPersonal Information Management and User Behavior

Cited by 88

BASE Layers: Simplifying Training of Large, Sparse Models

Lewis, M., Bhosale, S., Dettmers, T., Goyal, N., & Zettlemoyer, L. (2021) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 88

PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems

Ghazimatin, A., Balalau, O., Saha Roy, R., & Weikum, G. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Explainable Artificial Intelligence (XAI)Recommender Systems and Techniques

Cited by 88

The boundary for quantum advantage in Gaussian boson sampling

Bulmer, J. F. F., Bell, B. A., Chadwick, R. S., Jones, A. E., Moise, D., Rigazzi, A., Thorbecke, J., Haus, U.-U., Van Vaerenbergh, T., Patel, R. B., et al. (2022) · Science Advances

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 88

Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling

Blaha, M., Vogel, C., Richard, A., Wegner, J. D., Pock, T., & Schindler, K. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 88

Data Contamination: From Memorization to Exploitation

Magar, I., & Schwartz, R. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 88

Detecting outlying properties of exceptional objects

Angiulli, F., Fassetti, F., & Palopoli, L. (2009) · ACM Transactions on Database Systems

Anomaly Detection Techniques and ApplicationsData Mining Algorithms and Applications

Cited by 88

Large-Scale Unsupervised Semantic Segmentation

Gao, S., Li, Z.-Y., Yang, M.-H., Cheng, M.-M., Han, J., & Torr, P. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 88

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Wang, B., Xu, C., Wang, S., Gan, Z., Cheng, Y., Gao, J., Awadallah, A. H., & Li, B. (2021) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 88

The poverty of ethical AI: impact sourcing and AI supply chains

Muldoon, J., Cant, C., Graham, M., & Ustek Spilda, F. (2025) · AI & SOCIETY

Ethics and Social Impacts of AIDigital Economy and Work Transformation

Cited by 88

Adversarial score matching and improved sampling for image generation

Jolicoeur-Martineau, A., Piché-Taillefer, R., Combes, R. T. D., & Mitliagkas, I. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 88

Analysing adaptive scaffolds that help students develop self‐regulated learning behaviours

Munshi, A., Biswas, G., Baker, R., Ocumpaugh, J., Hutt, S., & Paquette, L. (2023) · Journal of Computer Assisted Learning

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 88

An explainable and efficient deep learning framework for video anomaly detection

Wu, C., Shao, S., Tunc, C., Satam, P., & Hariri, S. (2022) · Cluster Computing

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 88

HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization

Peng, Q., Chai, Y., & Li, X. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 88

Stabilization of Finite-Energy Gottesman-Kitaev-Preskill States

Royer, B., Singh, S., & Girvin, S. M. (2020) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 88

Mapping the ethics of learning analytics in higher education: a systematic literature review of empirical research

Cerratto Pargman, T., & McGrath, C. (2021) · Journal of Learning Analytics

Online Learning and AnalyticsAcademic integrity and plagiarism

Cited by 88

Understanding Human Intelligence through Human Limitations

Griffiths, T. L. (2020) · Trends in Cognitive Sciences

Psychiatry, Mental Health, NeuroscienceCognitive Abilities and Testing

Cited by 88

Laughing is Scary, but Farting is Cute: A Conceptual Model of Children's Perspectives of Creepy Technologies

Yip, J. C., Sobel, K., Gao, X., Hishikawa, A. M., Lim, A., Meng, L., Ofiana, R. F., Park, J., & Hiniker, A. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 88

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset

Ji, J., Liu, M., Dai, J., Pan, X., Zhang, C., Bian, C., Zhang, C., Sun, R., Wang, Y., & Yang, Y. (2023) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 88

Participatory Design of AI Systems: Opportunities and Challenges Across Diverse Users, Relationships, and Application Domains

Zytko, D., J. Wisniewski, P., Guha, S., P. S. Baumer, E., & Lee, M. K. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 88

A study of the robustness of PRNU-based camera identification

Rosenfeld, K., & Sencar, H. T. (2009) · SPIE Proceedings

Digital Media Forensic DetectionImage and Video Quality Assessment

Cited by 88

Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Tseng, Y.-M., Huang, Y.-C., Hsiao, T.-Y., Chen, W.-L., Huang, C.-W., Meng, Y., & Chen, Y.-N. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Speech and dialogue systemsTopic Modeling

Cited by 87