Check computer science papers: citations, claims and retractions

CMMLU: Measuring massive multitask language understanding in Chinese

Li, H., Zhang, Y., Koto, F., Yang, Y., Zhao, H., Gong, Y., Duan, N., & Baldwin, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 464

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Li, Z., Zhao, Y., Han, J., Su, Y., Jiao, R., Wen, X., & Pei, D. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 464

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Ghazvininejad, M., Levy, O., Liu, Y., & Zettlemoyer, L. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 464

Information foraging in information access environments

Pirolli, P., & Card, S. (1995) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '95

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 464

Federated Learning and Differential Privacy for Medical Image Analysis

Adnan, M., Kalra, S., Cresswell, J. C., Taylor, G. W., & Tizhoosh, H. (2021) · Scientific Reports

Privacy-Preserving Technologies in DataAI in cancer detection

Cited by 464

Grammar as a Foreign Language

Vinyals, O., Kaiser, L., Koo, T., Petrov, S., Sutskever, I., & Hinton, G. (2014) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 464

Deep Learning for Deepfakes Creation and Detection: A Survey

Nguyen, T. T., Nguyen, Q. V. H., Nguyen, D. T., Nguyen, D. T., Huynh-The, T., Nahavandi, S., Nguyen, T. T., Pham, Q.-V., & Nguyen, C. M. (2019) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 464

Federated learning for 6G communications: Challenges, methods, and future directions

Liu, Y., Yuan, X., Xiong, Z., Kang, J., Wang, X., & Niyato, D. (2020) · China Communications

Privacy-Preserving Technologies in DataAdvanced Wireless Communication Technologies

Cited by 464

Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls

Bagalà, F., Becker, C., Cappello, A., Chiari, L., Aminian, K., Hausdorff, J. M., Zijlstra, W., & Klenk, J. (2012) · PLoS ONE

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 464

Characterizing quantum gates via randomized benchmarking

Magesan, E., Gambetta, J. M., & Emerson, J. (2012) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 464

What we know about spreadsheet errors

Panko, R. R. (1998) · Journal of Organizational and End User Computing

Spreadsheets and End-User ComputingDecision Support System Applications

Cited by 464

Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging

Reimers, N., & Gurevych, I. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 463

Security in embedded systems: Design challenges

Ravi, S., Raghunathan, A., Kocher, P., & Hattangady, S. (2004) · ACM Transactions on Embedded Computing Systems

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 463

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 463

Recommendation for block cipher modes of operation :

Dworkin, M. J. (2007)

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 463

The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming

Finnie-Ansley, J., Denny, P., Becker, B. A., Luxton-Reilly, A., & Prather, J. (2022) · Proceedings of the 24th Australasian Computing Education Conference

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 463

Variational Quantum Computation of Excited States

Higgott, O., Wang, D., & Brierley, S. (2019) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 463

VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization

Mishra, P., Verk, R., Fornasier, D., Piciarelli, C., & Foresti, G. L. (2021) · 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 462

FSD50K: An Open Dataset of Human-Labeled Sound Events

Fonseca, E., Favory, X., Pons, J., Font, F., & Serra, X. (2020) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 462

Quantum Walk of a Trapped Ion in Phase Space

Schmitz, H., Matjeschk, R., Schneider, C., Glueckert, J., Enderlein, M., Huber, T., & Schaetz, T. (2009) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 462

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Clark, P., Cowhey, I., Etzioni, O., Khot, T., Sabharwal, A., Schoenick, C., & Tafjord, O. (2018) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 462

Predicting Parameters in Deep Learning

Shakibi, B. (2014) · University of British Columbia

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 462

The use of artificial neural networks in decision support in cancer: A systematic review

Lisboa, P. J., & Taktak, A. F. G. (2006) · Neural Networks

AI in cancer detectionArtificial Intelligence in Healthcare

Cited by 462

Spatial-Spectral Transformer for Hyperspectral Image Classification

He, X., Chen, Y., & Lin, Z. (2021) · Remote Sensing

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 462