Check computer science papers: citations, claims and retractions

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Zakharov, E., Shysheya, A., Burkov, E., & Lempitsky, V. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 687

Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions

Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2018) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 687

Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines

Kotsia, I., & Pitas, I. (2007) · IEEE Transactions on Image Processing

Face recognition and analysisFace and Expression Recognition

Cited by 687

Interpretable Decision Sets: A Joint Framework for Description and Prediction

Lakkaraju, H., Bach, S. H., & Leskovec, J. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Explainable Artificial Intelligence (XAI)Data Mining Algorithms and Applications

Cited by 687

Soylent: a word processor with a crowd inside

Bernstein, M. S., Little, G., Miller, R. C., Hartmann, B., Ackerman, M. S., Karger, D. R., Crowell, D., & Panovich, K. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology

Mobile Crowdsensing and CrowdsourcingUsability and User Interface Design

Cited by 686

Efficient Variational Quantum Simulator Incorporating Active Error Minimization

Li, Y., & Benjamin, S. C. (2017) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 686

Realizing repeated quantum error correction in a distance-three surface code

Krinner, S., Lacroix, N., Remm, A., Di Paolo, A., Genois, E., Leroux, C., Hellings, C., Lazar, S., Swiadek, F., Herrmann, J., et al. (2022) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 686

Label Propagation for Deep Semi-Supervised Learning

Iscen, A., Tolias, G., Avrithis, Y., & Chum, O. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 686

Big Self-Supervised Models Advance Medical Image Classification

Azizi, S., Mustafa, B., Ryan, F., Beaver, Z., Freyberg, J., Deaton, J., Loh, A., Karthikesalingam, A., Kornblith, S., Chen, T., et al. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningArtificial Intelligence in Healthcare and Education

Cited by 685

What makes Web sites credible?: a report on a large quantitative study

Fogg, B. J., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., Paul, J., Rangnekar, A., Shon, J., Swani, P., et al. (2001) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 685

An Exploratory Study of How Developers Seek, Relate, and Collect Relevant Information during Software Maintenance Tasks

Ko, A. J., Myers, B. A., Coblenz, M. J., & Aung, H. H. (2006) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 685

CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

Levie, R., Monti, F., Bresson, X., & Bronstein, M. M. (2019) · IEEE Transactions on Signal Processing

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 685

Collaborative Cloud and Edge Computing for Latency Minimization

Ren, J., Yu, G., He, Y., & Li, G. Y. (2019) · IEEE Transactions on Vehicular Technology

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 685

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Lee, N., Ajanthan, T., & Torr, P. H. S. (2018) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 685

Gender bias in coreference resolution: Evaluation and debiasing methods

Zhao, J., Wang, T., Yatskar, M., Ordonez, V., & Chang, K.-W. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

Natural Language Processing TechniquesEthics and Social Impacts of AI

Cited by 684

Applied Federated Learning: Improving Google Keyboard Query Suggestions

Yang, T., Andrew, G., Eichner, H., Sun, H., Li, W., Kong, N., Ramage, D., & Beaufays, F. (2018) · arXiv

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 684

Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

Sandfort, V., Yan, K., Pickhardt, P. J., & Summers, R. M. (2019) · Scientific Reports

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 684

Fixed Point Quantization of Deep Convolutional Networks

Lin, D. D., Talathi, S. S., & Annapureddy, V. S. (2015) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 684

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

Materializing Morality: Design Ethics and Technological Mediation

Verbeek, P.-P. (2006) · Science, Technology, & Human Values

Ethics and Social Impacts of AITechnology, Environment, Urban Planning

Cited by 683

Towards Large-Scale Small Object Detection: Survey and Benchmarks

Cheng, G., Yuan, X., Yao, X., Yan, K., Zeng, Q., Xie, X., & Han, J. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 683

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

Visualizing Uncertainty About the Future

Spiegelhalter, D., Pearson, M., & Short, I. (2011) · Science

Data Visualization and AnalyticsRisk Perception and Management

Cited by 682

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Bang, Y., Cahyawijaya, S., Lee, N., Dai, W., Su, D., Wilie, B., Lovenia, H., Ji, Z., Yu, T., Chung, W., et al. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 682