Check computer science papers: citations, claims and retractions

The CRANFIELD TESTS ON INDEX LANGUAGE DEVICES

CLEVERDON, C. (1967) · Aslib Proceedings

Information Retrieval and Search BehaviorLibrary Science and Information Systems

Cited by 509

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Shalev-Shwartz, S., Shammah, S., & Shashua, A. (2016) · arXiv

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 509

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations

Kay, M., Matuszek, C., & Munson, S. A. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIMedia, Gender, and Advertising

Cited by 509

Social Engineering Attacks: A Survey

Salahdine, F., & Kaabouch, N. (2019) · Future Internet

Advanced Malware Detection TechniquesUser Authentication and Security Systems

Cited by 509

Error modeling in stereo navigation

Matthies, L., & Shafer, S. (1987) · IEEE Journal on Robotics and Automation

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 509

Revisiting the Sibling Head in Object Detector

Song, G., Liu, Y., & Wang, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 509

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Makoviychuk, V., Wawrzyniak, L., Guo, Y., Lu, M., Storey, K., Macklin, M., Hoeller, D., Rudin, N., Allshire, A., Handa, A., et al. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 509

Efficient Content-Based Sparse Attention with Routing Transformers

Roy, A., Saffar, M., Vaswani, A., & Grangier, D. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 509

Gradient-based Hyperparameter Optimization through Reversible Learning

Maclaurin, D., Duvenaud, D., & Adams, R. P. (2015) · arXiv

Machine Learning and Data ClassificationStochastic Gradient Optimization Techniques

Cited by 509

Latent Space Autoregression for Novelty Detection

Abati, D., Porrello, A., Calderara, S., & Cucchiara, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 508

Generating Natural Adversarial Examples

Zhao, Z., Dua, D., & Singh, S. (2017) · arXiv

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 508

Software-Defined Network Function Virtualization: A Survey

Li, Y., & Chen, M. (2015) · IEEE Access

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 508

Transparency of deep neural networks for medical image analysis: A review of interpretability methods

Salahuddin, Z., Woodruff, H. C., Chatterjee, A., & Lambin, P. (2022) · Computers in Biology and Medicine

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

Cited by 508

Sparsified SGD with Memory

Stich, S. U., Cordonnier, J.-B., & Jaggi, M. (2018) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 508

Cybersickness: Perception of Self-Motion in Virtual Environments

McCauley, M. E., & Sharkey, T. J. (1992) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsAdvanced Optical Imaging Technologies

Cited by 508

Secure Multi-Party Computation: Theory, practice and applications

Zhao, C., Zhao, S., Zhao, M., Chen, Z., Gao, C.-Z., Li, H., & Tan, Y.-A. (2019) · Information Sciences

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 508

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Dathathri, S., Madotto, A., Lan, J., Hung, J., Frank, E., Molino, P., Yosinski, J., & Liu, R. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 508

EEG Based Emotion Recognition: A Tutorial and Review

Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., Yang, M., Zhao, Z., Kumar, N., & Marttinen, P. (2023) · ACM Computing Surveys

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 508

Experimental comparison of two quantum computing architectures

Linke, N. M., Maslov, D., Roetteler, M., Debnath, S., Figgatt, C., Landsman, K. A., Wright, K., & Monroe, C. (2017) · Proceedings of the National Academy of Sciences

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 508

Perspectives of quantum annealing: methods and implementations

Hauke, P., Katzgraber, H. G., Lechner, W., Nishimori, H., & Oliver, W. D. (2020) · Reports on Progress in Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 507

A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system

Holman, C. D. J., Bass, J. A., Rosman, D. L., Smith, M. B., Semmens, J. B., Glasson, E. J., Brook, E. L., Trutwein, B., Rouse, I. L., Watson, C. R., et al. (2008) · Australian Health Review

Data Quality and ManagementMedical Coding and Health Information

Cited by 507

Integrating spatial gene expression and breast tumour morphology via deep learning

He, B., Bergenstråhle, L., Stenbeck, L., Abid, A., Andersson, A., Borg, Å., Maaskola, J., Lundeberg, J., & Zou, J. (2020) · Nature Biomedical Engineering

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 507

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Lee, J. H., Han, M.-K., Ko, D. W., & Suh, I. H. (2019) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 507

How is ChatGPT's behavior changing over time?

Chen, L., Zaharia, M., & Zou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 507