Check computer science papers: citations, claims and retractions

Dynamic-Fusion-Based Federated Learning for COVID-19 Detection

Zhang, W., Zhou, T., Lu, Q., Wang, X., Zhu, C., Sun, H., Wang, Z., Lo, S. K., & Wang, F.-Y. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI

Cited by 329

VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

Sung, Y.-L., Cho, J., & Bansal, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 329

Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning

Deng, Y., Yang, J., Chen, D., Wen, F., & Tong, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 329

The social impact of natural language processing

Hovy, D., & Spruit, S. L. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 329

More human than human: measuring ChatGPT political bias

Motoki, F., Pinho Neto, V., & Rodrigues, V. (2024) · Public Choice

Ethics and Social Impacts of AISocial Media and Politics

Cited by 329

Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for Shifting Organizational Practices

Rakova, B., Yang, J., Cramer, H., & Chowdhury, R. (2021) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 329

DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications

Huynh, L. N., Lee, Y., & Balan, R. K. (2017) · Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 329

Reassembling fractured objects by geometric matching

Huang, Q.-X., Flöry, S., Gelfand, N., Hofer, M., & Pottmann, H. (2006) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction

Cited by 329

A Performance Evaluation of Federated Learning Algorithms

Nilsson, A., Smith, S., Ulm, G., Gustavsson, E., & Jirstrand, M. (2018) · Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 328

Deep learning from temporal coherence in video

Mobahi, H., Collobert, R., & Weston, J. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 328

Quantum Low-Density Parity-Check Codes

Breuckmann, N. P., & Eberhardt, J. N. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 328

Generating Human Motion from Textual Descriptions with Discrete Representations

Zhang, J., Zhang, Y., Cun, X., Zhang, Y., Zhao, H., Lu, H., Shen, X., & Ying, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Motion and AnimationGenerative Adversarial Networks and Image Synthesis

Cited by 328

Applications of Machine Learning to Cognitive Radio Networks

Clancy, C., Hecker, J., Stuntebeck, E., & O'Shea, T. (2007) · IEEE Wireless Communications

Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification

Cited by 328

Regularized Evolution for Image Classifier Architecture Search

Real, E., Aggarwal, A., Huang, Y., & Le, Q. V. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Evolutionary Algorithms and ApplicationsAdvanced Neural Network Applications

Cited by 328

Ethical challenges and solutions of generative AI: an interdisciplinary perspective

Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., & Alfandi, O. (2024) · Informatics

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 328

Self-Supervised GANs via Auxiliary Rotation Loss

Chen, T., Zhai, X., Ritter, M., Lucic, M., & Houlsby, N. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 328

Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research

Hekler, E. B., Klasnja, P., Froehlich, J. E., & Buman, M. P. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionBehavioral Health and Interventions

Cited by 328

Learning to Localize Sound Source in Visual Scenes

Senocak, A., Oh, T.-H., Kim, J., Yang, M.-H., & Kweon, I. S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Speech and Audio ProcessingMusic and Audio Processing

Cited by 328

Chaos-Based Image Encryption: Review, Application, and Challenges

Zhang, B., & Liu, L. (2023) · Mathematics

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 328

Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

Shen, D., Wang, G., Wang, W., Min, M. R., Su, Q., Zhang, Y., Li, C., Henao, R., & Carin, L. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 328

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers

Ye, J., Lu, X., Lin, Z., & Wang, J. Z. (2018) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 328

Experimental Demonstration of a Compiled Version of Shor’s Algorithm with Quantum Entanglement

Lanyon, B. P., Weinhold, T. J., Langford, N. K., Barbieri, M., James, D. F. V., Gilchrist, A., & White, A. G. (2007) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 327

An anthropometric face model using variational techniques

DeCarlo, D., Metaxas, D., & Stone, M. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98

Face recognition and analysis3D Shape Modeling and Analysis

Cited by 327

Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

Couture, H. D., Williams, L. A., Geradts, J., Nyante, S. J., Butler, E. N., Marron, J. S., Perou, C. M., Troester, M. A., & Niethammer, M. (2018) · npj Breast Cancer

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 327