Check computer science papers: citations, claims and retractions

“It is currently hodgepodge”: Examining AI/ML Practitioners’ Challenges during Co-production of Responsible AI Values

Varanasi, R. A., & Goyal, N. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 52

A field evaluation of an adaptable two-interface design for feature-rich software

McGrenere, J., Baecker, R. M., & Booth, K. S. (2007) · ACM Transactions on Computer-Human Interaction

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 52

Enali: A Research and Design Framework for Virtual Characters and Pedagogical Agents

Veletsianos, G., Miller, C., & Doering, A. (2009) · Journal of Educational Computing Research

Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI

Cited by 52

Learning tactile skills through curious exploration

Pape, L., Oddo, C. M., Controzzi, M., Cipriani, C., Förster, A., Carrozza, M. C., & Schmidhuber, J. (2012) · Frontiers in Neurorobotics

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 51

Everything you always wanted to know about a dataset: Studies in data summarisation

Koesten, L., Simperl, E., Blount, T., Kacprzak, E., & Tennison, J. (2020) · International Journal of Human-Computer Studies

Data Visualization and AnalyticsResearch Data Management Practices

Cited by 51

Quantum Optimization via Four-Body Rydberg Gates

Dlaska, C., Ender, K., Mbeng, G. B., Kruckenhauser, A., Lechner, W., & van Bijnen, R. (2022) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 51

Jailbreak and Guard Aligned Language Models With Only Few In-Context Demonstrations

Wei, Z., Wang, Y., Li, A., Mo, Y., & Wang, Y. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 51

BYOL works even without batch statistics

Richemond, P. H., Grill, J.-B., Altché, F., Tallec, C., Strub, F., Brock, A., Smith, S., De, S., Pascanu, R., Piot, B., et al. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 51

Social engineering as an attack vector for ransomware

Gallegos-Segovia, P. L., Bravo-Torres, J. F., Larios-Rosillo, V. M., Vintimilla-Tapia, P. E., Yuquilima-Albarado, I. F., & Jara-Saltos, J. D. (2017) · 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Advanced Malware Detection TechniquesInformation and Cyber Security

Cited by 51

Quantum Approximate Optimization with Hard and Soft Constraints

Hadfield, S., Wang, Z., Rieffel, E. G., O'Gorman, B., Venturelli, D., & Biswas, R. (2017) · Proceedings of the Second International Workshop on Post Moores Era Supercomputing

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 51

Power Control of Cellular Radio Systems Via Robust Smith Prediction Filter

Lee, B.-K., Chen, H.-W., & Chen, B.-S. (2004) · IEEE Transactions on Wireless Communications

Wireless Communication Networks ResearchStability and Control of Uncertain Systems

Cited by 51

Federated XAI IDS: An Explainable and Safeguarding privacy Approach to Detect Intrusion Combining Federated Learning and SHAP

Fatema, K., Dey, S. K., Anannya, M., Khan, R. T., Rashid, M., Chunhua, S., & Mazumder, R. (2025) · Future Internet

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 51

Characterizing and Understanding Development Sessions

Robbes, R., & Lanza, M. (2007) · 15th IEEE International Conference on Program Comprehension (ICPC '07)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 51

Blockchain implementation in health care: protocol for a systematic review

Meinert, E., Alturkistani, A., Foley, K. A., Osama, T., Car, J., Majeed, A., Van Velthoven, M., Wells, G., & Brindley, D. (2019) · JMIR Research Protocols

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 51

Changing the World by Changing the Data

Rogers, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 51

Athena: Probabilistic Verification of Machine Unlearning

Sommer, D. M., Song, L., Wagh, S., & Mittal, P. (2022) · Proceedings on Privacy Enhancing Technologies

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 51

On the linearity of large non-linear models: when and why the tangent kernel is constant

Liu, C., Zhu, L., & Belkin, M. (2020) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 51

Improving quality of data: IoT data aggregation using device-to-device communications

Sanyal, S., & Zhang, P. (2018) · IEEE Access

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 51

Diagnosing the Environment Bias in Vision-and-Language Navigation

Zhang, Y., Tan, H., & Bansal, M. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 51

Do Language Models Plagiarize?

Lee, J., Le, T., Chen, J., & Lee, D. (2023) · Proceedings of the ACM Web Conference 2023

Topic ModelingAcademic integrity and plagiarism

Cited by 51

Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry

Singh, H., Majumder, S., & Mishra, S. (2023) · The Journal of Chemical Physics

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 51

Memory Manipulations in Extended Reality

Bonnail, E., Tseng, W.-J., Mcgill, M., Lecolinet, E., Huron, S., & Gugenheimer, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsInnovative Human-Technology Interaction

Cited by 51

Bit Efficient Quantization for Deep Neural Networks

Nayak, P., Zhang, D., & Chai, S. (2019) · 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 51

Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations

Wei, Z., Wang, Y., Li, A., Mo, Y., & Wang, Y. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 51