Check computer science papers: citations, claims and retractions

The economics of BitCoin price formation

Ciaian, P., Rajcaniova, M., & Kancs, D. (2016) · Applied Economics

Blockchain Technology Applications and SecurityFinancial Markets and Investment Strategies

Cited by 1,004

Who are the crowdworkers?: shifting demographics in mechanical turk

Ross, J., Irani, L., Silberman, M. S., Zaldivar, A., & Tomlinson, B. (2010) · CHI '10 Extended Abstracts on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingDigital Economy and Work Transformation

Cited by 1,004

Application and theory gaps during the rise of artificial intelligence in education

Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 1,003

Universal Computation by Quantum Walk

Childs, A. M. (2009) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,002

How Can We Know What Language Models Know?

Jiang, Z., Xu, F. F., Araki, J., & Neubig, G. (2020) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,002

Exploring Self-Attention for Image Recognition

Zhao, H., Jia, J., & Koltun, V. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,002

Blockchain for AI: review and open research challenges

Salah, K., Rehman, M. H. U., Nizamuddin, N., & Al-Fuqaha, A. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 1,001

Privacy preserving association rule mining in vertically partitioned data

Vaidya, J., & Clifton, C. (2002) · Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining

Privacy-Preserving Technologies in DataData Mining Algorithms and Applications

Cited by 1,001

Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

Yeom, S., Giacomelli, I., Fredrikson, M., & Jha, S. (2018) · 2018 IEEE 31st Computer Security Foundations Symposium (CSF)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1,001

Nonlinear image recovery with half-quadratic regularization

Geman, D., & Yang, C. (1995) · IEEE Transactions on Image Processing

Image and Signal Denoising MethodsNumerical methods in inverse problems

Cited by 1,000

A model for reasoning about persistence and causation

Dean, T., & Kanazawa, K. (1989) · Computational Intelligence

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 999

Social coding in GitHub: transparency and collaboration in an open software repository

Dabbish, L., Stuart, C., Tsay, J., & Herbsleb, J. (2012) · Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

Open Source Software InnovationsKnowledge Management and Sharing

Cited by 999

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Cao, X., Fang, M., Liu, J., & Gong, N. Z. (2021) · Proceedings 2021 Network and Distributed System Security Symposium

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 999

Federated learning of predictive models from federated Electronic Health Records

Brisimi, T. S., Chen, R., Mela, T., Olshevsky, A., Paschalidis, I. C., & Shi, W. (2018) · International Journal of Medical Informatics

Privacy-Preserving Technologies in DataDistributed Control Multi-Agent Systems

Cited by 997

An empirical study of speed and communication in globally distributed software development

Herbsleb, J. D., & Mockus, A. (2003) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 997

Zero-Shot Learning Through Cross-Modal Transfer

Socher, R., Ganjoo, M., Sridhar, H., Bastani, O., Manning, C. D., & Ng, A. Y. (2013) · arXiv

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 997

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

Deng, B. L., Li, G., Han, S., Shi, L., & Xie, Y. (2020) · Proceedings of the IEEE

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 996

Quantifying Attention Flow in Transformers

Abnar, S., & Zuidema, W. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 995

Counterfactual Fairness

Kusner, M. J., Loftus, J. R., Russell, C., & Silva, R. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 995

Reliable quantum computers

Preskill, J. (1998) · Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 994

Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: A meta-analysis

Parsons, T. D., & Rizzo, A. A. (2008) · Journal of Behavior Therapy and Experimental Psychiatry

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 994

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

Keeping the neural networks simple by minimizing the description length of the weights

Hinton, G. E., & van Camp, D. (1993) · Proceedings of the sixth annual conference on Computational learning theory - COLT '93

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 994

Semi-supervised Sequence Learning

Dai, A. M., & Le, Q. V. (2015) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 994