Check computer science papers: citations, claims and retractions

Quantum circuit learning

Mitarai, K., Negoro, M., Kitagawa, M., & Fujii, K. (2018) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,639

Fitts' Law as a Research and Design Tool in Human-Computer Interaction

MacKenzie, I. S. (1992) · Human–Computer Interaction

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 1,637

seL4

Klein, G., Elphinstone, K., Heiser, G., Andronick, J., Cock, D., Derrin, P., Elkaduwe, D., Engelhardt, K., Kolanski, R., Norrish, M., et al. (2009) · Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles

Logic, programming, and type systemsSecurity and Verification in Computing

Cited by 1,633

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Garg, R., BG, V. K., Carneiro, G., & Reid, I. (2016) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,632

Quantum estimation for quantum technology

PARIS, M. G. A. (2009) · International Journal of Quantum Information

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 1,632

Molecular graph convolutions: moving beyond fingerprints

Kearnes, S., McCloskey, K., Berndl, M., Pande, V., & Riley, P. (2016) · Journal of Computer-Aided Molecular Design

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 1,631

Presence, Explicated

Lee, K. M. (2004) · Communication Theory

Virtual Reality Applications and ImpactsFlow Experience in Various Fields

Cited by 1,631

A survey of information-centric networking

Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012) · IEEE Communications Magazine

Caching and Content DeliveryOpportunistic and Delay-Tolerant Networks

Cited by 1,630

Low-dose CT image denoising using a generative adversarial network with wasserstein distance and perceptual loss.

Yang, Q., Yan, P., Zhang, Y., Yu, H., Shi, Y., Mou, X., Kalra, M. K., Zhang, Y., Sun, L., & Wang, G. (2018) · IEEE Transactions on Medical Imaging

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 1,630

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

Xue, L., Constant, N., Roberts, A., Kale, M., Al-Rfou, R., Siddhant, A., Barua, A., & Raffel, C. (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 1,629

Blockchain technology: principles and applications

Pilkington, M. (2016) · Research Handbook on Digital Transformations

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 1,627

DSSD : Deconvolutional Single Shot Detector

Fu, C.-Y., Liu, W., Ranga, A., Tyagi, A., & Berg, A. C. (2017) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,624

Quantum random walks

Aharonov, Y., Davidovich, L., & Zagury, N. (1993) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 1,622

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

Bengio, S., Vinyals, O., Jaitly, N., & Shazeer, N. (2015) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,621

Quantum computational chemistry

McArdle, S., Endo, S., Aspuru-Guzik, A., Benjamin, S. C., & Yuan, X. (2020) · Reviews of Modern Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,621

Systematic design of program analysis frameworks

Cousot, P., & Cousot, R. (1979) · Proceedings of the 6th ACM SIGACT-SIGPLAN symposium on Principles of programming languages - POPL '79

Logic, programming, and type systemsFormal Methods in Verification

Cited by 1,621

Reputation as a sufficient condition for data quality on Amazon Mechanical Turk

Peer, E., Vosgerau, J., & Acquisti, A. (2014) · Behavior Research Methods

Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse

Cited by 1,618

Temporal difference learning and TD-Gammon

Tesauro, G. (1995) · Communications of the ACM

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1,618

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Sun, P., Zhang, R., Jiang, Y., Kong, T., Xu, C., Zhan, W., Tomizuka, M., Li, L., Yuan, Z., Wang, C., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,617

Evaluating amazon’s mechanical turk as a tool for experimental behavioral research

Crump, M. J. C., McDonnell, J. V., & Gureckis, T. M. (2013) · PLoS ONE

Mobile Crowdsensing and CrowdsourcingNeural and Behavioral Psychology Studies

Cited by 1,617

The Open Motion Planning Library

Sucan, I. A., Moll, M., & Kavraki, L. E. (2012) · IEEE Robotics & Automation Magazine

Robotic Path Planning AlgorithmsAI-based Problem Solving and Planning

Cited by 1,616

Microsoft COCO Captions: Data Collection and Evaluation Server

Chen, X., Fang, H., Lin, T.-Y., Vedantam, R., Gupta, S., Dollar, P., & Zitnick, C. L. (2015) · arXiv

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,614

Lost in the Middle: How Language Models Use Long Contexts

Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,612

Private information retrieval

Chor, B., Kushilevitz, E., Goldreich, O., & Sudan, M. (1998) · Journal of the ACM

Cryptography and Data SecurityPrivacy-Preserving Technologies in Data

Cited by 1,612