Check computer science papers: citations, claims and retractions

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Mehta, S., & Rastegari, M. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,110

The Quest to Replace Passwords: A Framework for Comparative Evaluation of Web Authentication Schemes

Bonneau, J., Herley, C., Oorschot, P. C. V., & Stajano, F. (2012) · 2012 IEEE Symposium on Security and Privacy

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 1,110

Tracking Without Bells and Whistles

Bergmann, P., Meinhardt, T., & Leal-Taixe, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 1,110

Elastically deformable models

Terzopoulos, D., Platt, J., Barr, A., & Fleischer, K. (1987) · ACM SIGGRAPH Computer Graphics

Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis

Cited by 1,110

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Izacard, G., & Grave, E. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1,109

A Survey of Automatic Query Expansion in Information Retrieval

Carpineto, C., & Romano, G. (2012) · ACM Computing Surveys

Information Retrieval and Search BehaviorAlgorithms and Data Compression

Cited by 1,109

The Soar Cognitive Architecture

Laird, J. E. (2012) · The MIT Press eBooks

AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience

Cited by 1,108

Organizational Decision-Making Structures in the Age of Artificial Intelligence

Shrestha, Y. R., Ben-Menahem, S. M., & von Krogh, G. (2019) · California Management Review

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 1,108

Virtual reality in neuroscience research and therapy

Bohil, C. J., Alicea, B., & Biocca, F. A. (2011) · Nature Reviews Neuroscience

Virtual Reality Applications and ImpactsEEG and Brain-Computer Interfaces

Cited by 1,108

Blockchain in government: Benefits and implications of distributed ledger technology for information sharing

Ølnes, S., Ubacht, J., & Janssen, M. (2017) · Government Information Quarterly

Blockchain Technology Applications and SecurityE-Government and Public Services

Cited by 1,107

AutoAugment: Learning Augmentation Policies from Data

Cubuk, E. D., Zoph, B., Mane, D., Vasudevan, V., & Le, Q. V. (2018) · arXiv

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 1,106

Efficient Learning of Sparse Representations with an Energy-Based Model

Ranzato, M., Poultney, C., Chopra, S., & LeCun, Y. (2007) · Advances in Neural Information Processing Systems 19

Sparse and Compressive Sensing TechniquesAdvanced Neural Network Applications

Cited by 1,106

The oracle problem in software testing: A survey

Barr, E. T., Harman, M., McMinn, P., Shahbaz, M., & Yoo, S. (2015) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Techniques and Practices

Cited by 1,104

THE PROBABILITY RANKING PRINCIPLE IN IR

ROBERTSON, S. E. (1977) · Journal of Documentation

Information Retrieval and Search BehaviorAlgorithms and Data Compression

Cited by 1,103

Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things

Li, Z., Kang, J., Yu, R., Ye, D., Deng, Q., & Zhang, Y. (2017) · IEEE Transactions on Industrial Informatics

Blockchain Technology Applications and SecuritySmart Grid Energy Management

Cited by 1,103

Suppressing quantum errors by scaling a surface code logical qubit

Google Quantum, A. I., Acharya, R., Aleiner, I., Allen, R., Andersen, T. I., Ansmann, M., Arute, F., Arya, K., Asfaw, A., Atalaya, J., et al. (2023) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,103

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Li, F., Zhang, H., Liu, S., Guo, J., Ni, L. M., & Zhang, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,102

A Review on Outlier/Anomaly Detection in Time Series Data

Blázquez-García, A., Conde, A., Mori, U., & Lozano, J. A. (2022) · ACM Computing Surveys

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 1,102

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., et al. (2017) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1,102

Finetuned Language Models Are Zero-Shot Learners

Wei, J., Bosma, M., Zhao, V. Y., Guu, K., Yu, A. W., Lester, B., Du, N., Dai, A. M., & Le, Q. V. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,101

Image retrieval using scene graphs

Johnson, J., Krishna, R., Stark, M., Li, L.-J., Shamma, D. A., Bernstein, M. S., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 1,101

Indexing based on scale invariant interest points

Mikolajczyk, K., & Schmid, C. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,101

Getting a grip on tangible interaction: a framework on physical space and social interaction

Hornecker, E., & Buur, J. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysInnovative Human-Technology Interaction

Cited by 1,100

Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

Dong, L., Xu, S., & Xu, B. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,100