Check computer science papers: citations, claims and retractions

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

Fan, H., Lin, L., Yang, F., Chu, P., Deng, G., Yu, S., Bai, H., Xu, Y., Liao, C., & Ling, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,742

Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Li, J., Li, D., Xiong, C., & Hoi, S. (2022) · arXiv

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,741

PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains

Fox, M., & Long, D. (2003) · Journal of Artificial Intelligence Research

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 1,741

Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

Hauser, D. J., & Schwarz, N. (2016) · Behavior Research Methods

Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse

Cited by 1,739

Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance

Vandersypen, L. M. K., Steffen, M., Breyta, G., Yannoni, C. S., Sherwood, M. H., & Chuang, I. L. (2001) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,738

Publicly Available Clinical

Alsentzer, E., Murphy, J., Boag, W., Weng, W.-H., Jindi, D., Naumann, T., & McDermott, M. (2019) · Proceedings of the 2nd Clinical Natural Language Processing Workshop

Machine Learning in HealthcareTopic Modeling

Cited by 1,736

SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Karimireddy, S. P., Kale, S., Mohri, M., Reddi, S. J., Stich, S. U., & Suresh, A. T. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 1,734

Exploiting Unintended Feature Leakage in Collaborative Learning

Melis, L., Song, C., De Cristofaro, E., & Shmatikov, V. (2019) · 2019 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 1,734

Improved Baselines with Visual Instruction Tuning

Liu, H., Li, C., Li, Y., & Lee, Y. J. (2023) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 1,733

Adversarial Examples: Attacks and Defenses for Deep Learning

Yuan, X., He, P., Zhu, Q., & Li, X. (2019) · IEEE Transactions on Neural Networks and Learning Systems

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 1,733

Superconducting quantum circuits at the surface code threshold for fault tolerance

Barends, R., Kelly, J., Megrant, A., Veitia, A., Sank, D., Jeffrey, E., White, T. C., Mutus, J., Fowler, A. G., Campbell, B., et al. (2014) · Nature

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 1,733

Explaining collaborative filtering recommendations

Herlocker, J. L., Konstan, J. A., & Riedl, J. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work

Recommender Systems and TechniquesExplainable Artificial Intelligence (XAI)

Cited by 1,731

Shape-from-shading: A survey

Zhang, R., Tsai, P.-S., Cryer, J. E., & Shah, M. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Vision and ImagingComputer Graphics and Visualization Techniques

Cited by 1,731

UnitBox: An Advanced Object Detection Network

Yu, J., Jiang, Y., Wang, Z., Cao, Z., & Huang, T. (2016) · Proceedings of the 24th ACM international conference on Multimedia

Advanced Neural Network ApplicationsFace recognition and analysis

Cited by 1,731

An HOG-LBP human detector with partial occlusion handling

Wang, X., Han, T. X., & Yan, S. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 1,727

Fundamental Limits of Caching

Maddah-Ali, M. A., & Niesen, U. (2014) · IEEE Transactions on Information Theory

Caching and Content DeliveryAge of Information Optimization

Cited by 1,726

Artificial intelligence: A powerful paradigm for scientific research

Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., Liu, X., Wu, Y., Dong, F., Qiu, C.-W., et al. (2021) · The Innovation

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 1,726

The future of industrial communication: Automation networks in the Era of the internet of things and industry 4.0

Wollschlaeger, M., Sauter, T., & Jasperneite, J. (2017) · IEEE Industrial Electronics Magazine

Network Time Synchronization TechnologiesDigital Transformation in Industry

Cited by 1,726

Noisy intermediate-scale quantum algorithms

Bharti, K., Cervera-Lierta, A., Kyaw, T. H., Haug, T., Alperin-Lea, S., Anand, A., Degroote, M., Heimonen, H., Kottmann, J. S., Menke, T., et al. (2022) · Reviews of Modern Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,726

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

Sattler, F., Wiedemann, S., Muller, K.-R., & Samek, W. (2020) · IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 1,725

The false hope of current approaches to explainable artificial intelligence in health care

Ghassemi, M., Oakden-Rayner, L., & Beam, A. L. (2021) · The Lancet Digital Health

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 1,724

Social Network Sites as Networked Publics: Affordances, Dynamics, and Implications

BOYD, D. (2010) · A Networked Self

Media and Digital CommunicationSocial Media and Politics

Cited by 1,724

Privacy-preserving data mining

Agrawal, R., & Srikant, R. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 1,719

Data quality of platforms and panels for online behavioral research

Peer, E., Rothschild, D., Gordon, A., Evernden, Z., & Damer, E. (2021) · Behavior Research Methods

Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse

Cited by 1,718