Check computer science papers: citations, claims and retractions

Challenges and opportunities in edge computing

Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., & Nikolopoulos, D. S. (2016) · 2016 IEEE International Conference on Smart Cloud (SmartCloud)

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 565

Deep double descent: where bigger models and more data hurt*

Nakkiran, P., Kaplun, G., Bansal, Y., Yang, T., Barak, B., & Sutskever, I. (2021) · Journal of Statistical Mechanics: Theory and Experiment

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 565

Differential Privacy Techniques for Cyber Physical Systems: A Survey

Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 564

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

Kaur, H., Nori, H., Jenkins, S., Caruana, R., Wallach, H., & Wortman Vaughan, J. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 564

Accurate intelligible models with pairwise interactions

Lou, Y., Caruana, R., Gehrke, J., & Hooker, G. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Explainable Artificial Intelligence (XAI)Statistical Methods and Applications

Cited by 564

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Zheng, Q., Xia, X., Zou, X., Dong, Y., Wang, S., Xue, Y., Shen, L., Wang, Z., Wang, A., Li, Y., et al. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Software Engineering ResearchTopic Modeling

Cited by 563

Towards secure industrial IoT: blockchain system with credit-based consensus mechanism

Huang, J., Kong, L., Chen, G., Wu, M.-Y., Liu, X., & Zeng, P. (2019) · IEEE Transactions on Industrial Informatics

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 563

Invertible Conditional GANs for image editing

Perarnau, G., van de Weijer, J., Raducanu, B., & Álvarez, J. M. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 563

What Makes Good In-Context Examples for GPT-3?

Liu, J., Shen, D., Zhang, Y., Dolan, B., Carin, L., & Chen, W. (2022) · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures

Topic ModelingNatural Language Processing Techniques

Cited by 563

Practical Quantum Error Mitigation for Near-Future Applications

Endo, S., Benjamin, S. C., & Li, Y. (2018) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 562

A secure and reliable bootstrap architecture

Arbaugh, W. A., Farber, D. J., & Smith, J. M. (2002) · Proceedings. 1997 IEEE Symposium on Security and Privacy (Cat. No.97CB36097)

Security and Verification in ComputingDistributed systems and fault tolerance

Cited by 562

One-dimensional quantum walks

Ambainis, A., Bach, E., Nayak, A., Vishwanath, A., & Watrous, J. (2001) · Proceedings of the thirty-third annual ACM symposium on Theory of computing

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 562

Governance of artificial intelligence

Taeihagh, A. (2021) · Policy and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 562

PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples

Song, Y., Kim, T., Nowozin, S., Ermon, S., & Kushman, N. (2017) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 562

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Wang, A., Singh, A., Michael, J., Hill, F., Levy, O., & Bowman, S. R. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 562

Learning to decode linear codes using deep learning

Nachmani, E., Be'ery, Y., & Burshtein, D. (2016) · 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Error Correcting Code TechniquesCoding theory and cryptography

Cited by 561

An Architecture for Autonomy

Alami, R., Chatila, R., Fleury, S., Ghallab, M., & Ingrand, F. (1998) · The International Journal of Robotics Research

AI-based Problem Solving and PlanningRobotics and Automated Systems

Cited by 561

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks

Wang, W., Bao, H., Dong, L., Bjorck, J., Peng, Z., Liu, Q., Aggarwal, K., Mohammed, O. K., Singhal, S., Som, S., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 561

Training Deep Nets with Sublinear Memory Cost

Chen, T., Xu, B., Zhang, C., & Guestrin, C. (2016) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 561

Machine learning for clinical decision support in infectious diseases: a narrative review of current applications

Peiffer-Smadja, N., Rawson, T. M., Ahmad, R., Buchard, A., Georgiou, P., Lescure, F.-X., Birgand, G., & Holmes, A. H. (2020) · Clinical Microbiology and Infection

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 561

ERASER: A Benchmark to Evaluate Rationalized NLP Models

DeYoung, J., Jain, S., Rajani, N. F., Lehman, E., Xiong, C., Socher, R., & Wallace, B. C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 561

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Duan, N., & Chen, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 561

Learning-Based Computation Offloading for IoT Devices With Energy Harvesting

Min, M., Xiao, L., Chen, Y., Cheng, P., Wu, D., & Zhuang, W. (2019) · IEEE Transactions on Vehicular Technology

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 560

Gender, genre, and writing style in formal written texts

ARGAMON, S., KOPPEL, M., FINE, J., & SHIMONI, A. R. (2003) · Text - Interdisciplinary Journal for the Study of Discourse

Authorship Attribution and ProfilingGender Studies in Language

Cited by 560