Check computer science papers: citations, claims and retractions

Continuous learning in single-incremental-task scenarios

Maltoni, D., & Lomonaco, V. (2019) · Neural Networks

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 309

Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions

Zhu, J., Cao, J., Saxena, D., Jiang, S., & Ferradi, H. (2023) · ACM Computing Surveys

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 309

A Meta-Analysis of the Effects of Feedback in Computer-Based Instruction

Azevedo, R., & Bernard, R. M. (1995) · Journal of Educational Computing Research

Intelligent Tutoring Systems and Adaptive LearningStudent Assessment and Feedback

Cited by 308

Quantum computing and the entanglement frontier

Preskill, J. (2012) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 308

Bias and Discrimination in AI: A Cross-Disciplinary Perspective

Ferrer, X., Nuenen, T. V., Such, J. M., Cote, M., & Criado, N. (2021) · IEEE Technology and Society Magazine

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 308

Securing the Internet of Things: Challenges, threats and solutions

Radoglou Grammatikis, P. I., Sarigiannidis, P. G., & Moscholios, I. D. (2019) · Internet of Things

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 308

Foundational proof-carrying code

Appel, A. W. (2002) · Proceedings 16th Annual IEEE Symposium on Logic in Computer Science

Logic, programming, and type systemsFormal Methods in Verification

Cited by 308

Classical simulation of commuting quantum computations implies collapse of the polynomial hierarchy

Bremner, M. J., Jozsa, R., & Shepherd, D. J. (2011) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 308

A Survey of Agent Platforms

Kravari, K., & Bassiliades, N. (2015) · Journal of Artificial Societies and Social Simulation

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 308

Entity Embeddings of Categorical Variables

Guo, C., & Berkhahn, F. (2016) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 308

Multiobjective Optimization in Bioinformatics and Computational Biology

Handl, J., Kell, D. B., & Knowles, J. (2007) · IEEE/ACM Transactions on Computational Biology and Bioinformatics

Advanced Multi-Objective Optimization AlgorithmsGenomics and Phylogenetic Studies

Cited by 308

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Broughton, M., Verdon, G., McCourt, T., Martinez, A. J., Yoo, J. H., Isakov, S. V., Massey, P., Halavati, R., Niu, M. Y., Zlokapa, A., et al. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 308

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

Kahn, G., Villaflor, A., Ding, B., Abbeel, P., & Levine, S. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 308

EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes

Braun, M., Krebs, S., Flohr, F., & Gavrila, D. M. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 307

On the naturalness of software

Hindle, A., Barr, E. T., Gabel, M., Su, Z., & Devanbu, P. (2016) · Communications of the ACM

Software Engineering ResearchNatural Language Processing Techniques

Cited by 307

Are NLP Models really able to Solve Simple Math Word Problems?

Patel, A., Bhattamishra, S., & Goyal, N. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 307

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

Wortsman, M., Ilharco, G., Gadre, S. Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A. S., Namkoong, H., Farhadi, A., Carmon, Y., Kornblith, S., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 307

Big privacy: challenges and opportunities of privacy study in the age of big data

Yu, S. (2016) · IEEE Access

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 307

The pursuit of citizens' privacy: a privacy-aware smart city is possible

Martinez-Balleste, A., Perez-martinez, P., & Solanas, A. (2013) · IEEE Communications Magazine

Privacy-Preserving Technologies in DataSmart Cities and Technologies

Cited by 307

The Pyramid Method: Incorporating human content selection variation in summarization evaluation

Nenkova, A., Passonneau, R., & McKeown, K. (2007) · ACM Transactions on Speech and Language Processing

Advanced Text Analysis TechniquesTopic Modeling

Cited by 307

Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems

Buçinca, Z., Lin, P., Gajos, K. Z., & Glassman, E. L. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 307

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Chen, L., Zhang, Y., Song, Y., Liu, L., & Wang, J. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 307

3D Facial Expression Recognition Based on Primitive Surface Feature Distribution

Wang, J., Yin, L., Wei, X., & Sun, Y. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

Face recognition and analysisFace and Expression Recognition

Cited by 307

Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification

Pranckevičius, T., & Marcinkevičius, V. (2017) · Baltic Journal of Modern Computing

Text and Document Classification TechnologiesSentiment Analysis and Opinion Mining

Cited by 307