Check computer science papers: citations, claims and retractions

Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses

Wu, R., Zhang, G., Lu, S., & Chen, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 121

SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models

Cheng, A.-C., Yin, H., Fu, Y., Guo, Q., Yang, R., Kautz, J., Wang, X., & Liu, S. (2024) · Advances in Neural Information Processing Systems 37

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 121

AI-driven innovations in software engineering: a review of current practices and future directions

Alenezi, M., & Akour, M. (2025) · Applied Sciences

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 121

Scalable agent alignment via reward modeling: a research direction

Leike, J., Krueger, D., Everitt, T., Martic, M., Maini, V., & Legg, S. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 121

Real World Object Detection Dataset for Quadcopter Unmanned Aerial Vehicle Detection

Pawelczyk, M. L., & Wojtyra, M. (2020) · IEEE Access

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 121

MLPerf Tiny Benchmark

Banbury, C., Reddi, V. J., Torelli, P., Holleman, J., Jeffries, N., Kiraly, C., Montino, P., Kanter, D., Ahmed, S., Pau, D., et al. (2021) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 121

Measurement reduction in variational quantum algorithms

Zhao, A., Tranter, A., Kirby, W. M., Ung, S. F., Miyake, A., & Love, P. J. (2020) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 121

LIZARD—A lightweight stream cipher for power-constrained devices

Hamann, M., Krause, M., & Meier, W. (2017) · IACR Transactions on Symmetric Cryptology

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 121

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Reuel, A., Hardy, A., Smith, C., Lamparth, M., Hardy, M., & Kochenderfer, M. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence ApplicationsScientific Computing and Data Management

Cited by 121

An Ontology of Dark Patterns Knowledge: Foundations, Definitions, and a Pathway for Shared Knowledge-Building

Gray, C. M., Santos, C. T., Bielova, N., & Mildner, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPrivacy, Security, and Data Protection

Cited by 121

Meta-Learning Probabilistic Inference For Prediction

Gordon, J., Bronskill, J., Bauer, M., Nowozin, S., & Turner, R. E. (2018) · Apollo - University of Cambridge Repository

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 121

A modular correctness proof of IEEE 802.11i and TLS

He, C., Sundararajan, M., Datta, A., Derek, A., & Mitchell, J. C. (2005) · Proceedings of the 12th ACM conference on Computer and communications security

Advanced Authentication Protocols SecuritySecurity and Verification in Computing

Cited by 121

On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Dziri, N., Milton, S., Yu, M., Zaiane, O., & Reddy, S. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 121

AI explainability and governance in smart energy systems: A review

Alsaigh, R., Mehmood, R., & Katib, I. (2023) · Frontiers in Energy Research

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 121

Leveraging relational autocorrelation with latent group models

Neville, J., & Jensen, D. (2005) · Proceedings of the 4th international workshop on Multi-relational mining - MRDM '05

Bayesian Modeling and Causal InferenceMachine Learning and Algorithms

Cited by 121

Error weighted semi-coupled hidden Markov model for audio-visual emotion recognition

Lin, J.-C., Wu, C.-H., & Wei, W.-L. (2012) · IEEE Transactions on Multimedia

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 121

Human Activity Recognition Based on Motion Sensor Using U-Net

Zhang, Y., Zhang, Z., Zhang, Y., Bao, J., Zhang, Y., & Deng, H. (2019) · IEEE Access

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 121

Enjoy your observability: an industrial survey of microservice tracing and analysis

Li, B., Peng, X., Xiang, Q., Wang, H., Xie, T., Sun, J., & Liu, X. (2022) · Empirical Software Engineering

Software System Performance and ReliabilitySoftware Engineering Techniques and Practices

Cited by 121

Deep Learning in Hyperspectral Unmixing: A Review

Bhatt, J. S., & Joshi, M. V. (2020) · IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Remote-Sensing Image ClassificationGeochemistry and Geologic Mapping

Cited by 121

Context-Aware Activity Recognition and Anomaly Detection in Video

Zhu, Y., Nayak, N. M., & Roy-Chowdhury, A. K. (2013) · IEEE Journal of Selected Topics in Signal Processing

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 121

On the Relevance of Code Anomalies for Identifying Architecture Degradation Symptoms

Macia, I., Arcoverde, R., Garcia, A., Chavez, C., & von Staa, A. (2012) · 2012 16th European Conference on Software Maintenance and Reengineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 121

Percolation, Renormalization, and Quantum Computing with Nondeterministic Gates

Kieling, K., Rudolph, T., & Eisert, J. (2007) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 121

MIT App Inventor: Objectives, Design, and Development

Patton, E. W., Tissenbaum, M., & Harunani, F. (2019) · Computational Thinking Education

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 121

Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data

Ravaut, M., Sadeghi, H., Leung, K. K., Volkovs, M., Kornas, K., Harish, V., Watson, T., Lewis, G. F., Weisman, A., Poutanen, T., et al. (2021) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 121