Check computer science papers: citations, claims and retractions

Is Local SGD Better than Minibatch SGD?

Woodworth, B., Patel, K. K., Stich, S. U., Dai, Z., Bullins, B., McMahan, H. B., Shamir, O., & Srebro, N. (2020) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 131

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Huang, R., Li, M., Yang, D., Shi, J., Chang, X., Ye, Z., Wu, Y., Hong, Z., Huang, J., Liu, J., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 131

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 131

Societal Biases in Language Generation: Progress and Challenges

Sheng, E., Chang, K.-W., Natarajan, P., & Peng, N. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 131

The Exploration of Integrating the Midjourney Artificial Intelligence Generated Content Tool into Design Systems to Direct Designers towards Future-Oriented Innovation

Yin, H., Zhang, Z., & Liu, Y. (2023) · Systems

Digital Media and Visual ArtDesign Education and Practice

Cited by 131

Understanding latent sector errors and how to protect against them

Schroeder, B., Damouras, S., & Gill, P. (2010) · ACM Transactions on Storage

Advanced Data Storage TechnologiesDistributed systems and fault tolerance

Cited by 131

Towards AI-Powered Personalization in MOOC Learning

Yu, H., Miao, C., Leung, C., & White, T. J. (2017) · npj Science of Learning

Online Learning and AnalyticsArtificial Intelligence in Education

Cited by 131

SmartTags: IoT Product Passport for Circular Economy Based on Printed Sensors and Unique Item-Level Identifiers

Gligoric, N., Krco, S., Hakola, L., Vehmas, K., De, S., Moessner, K., Jansson, K., Polenz, I., & van Kranenburg, R. (2019) · Sensors

QR Code Applications and TechnologiesRFID technology advancements

Cited by 131

Know thy eHealth user: development of biopsychosocial personas from a study of older adults with heart failure

Holden, R. J., Kulanthaivel, A., Purkayastha, S., Goggins, K. M., & Kripalani, S. (2017) · International Journal of Medical Informatics

Persona Design and ApplicationsTechnology Use by Older Adults

Cited by 131

Federated Transfer Reinforcement Learning for Autonomous Driving

Liang, X., Liu, Y., Chen, T., Liu, M., & Yang, Q. (2019) · arXiv

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 131

Code of conduct in open source projects

Tourani, P., Adams, B., & Serebrenik, A. (2017) · 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 131

An Advanced Temporal Credential-Based Security Scheme with Mutual Authentication and Key Agreement for Wireless Sensor Networks

Li, C.-T., Weng, C.-Y., & Lee, C.-C. (2013) · Sensors

Advanced Authentication Protocols SecuritySecurity in Wireless Sensor Networks

Cited by 131

Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles

Zeng, T., Semiari, O., Chen, M., Saad, W., & Bennis, M. (2022) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataTraffic control and management

Cited by 131

Implementation of a three-quantum-bit search algorithm

Vandersypen, L. M. K., Steffen, M., Sherwood, M. H., Yannoni, C. S., Breyta, G., & Chuang, I. L. (2000) · Applied Physics Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 131

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 131

Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Liang, Y., Ge, C., Tong, Z., Song, Y., Wang, J., & Xie, P. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 131

DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

Wang, R., Juefei-Xu, F., Huang, Y., Guo, Q., Xie, X., Ma, L., & Liu, Y. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 131

A survey on optimization techniques for edge artificial intelligence (ai)

Surianarayanan, C., Lawrence, J. J., Chelliah, P. R., Prakash, E., & Hewage, C. (2023) · Sensors

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 131

A Survey of Self-Sovereign Identity Ecosystem

Soltani, R., Nguyen, U. T., & An, A. (2021) · Security and Communication Networks

Blockchain Technology Applications and SecurityPrivacy, Security, and Data Protection

Cited by 131

Activity recognition using semi-Markov models on real world smart home datasets

van Kasteren, T. L. M., Englebienne, G., & Kröse, B. J. A. (2010) · Journal of Ambient Intelligence and Smart Environments

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 131

Learning analytics in higher education: a preponderance of analytics but very little learning?

Guzmán-Valenzuela, C., Gómez-González, C., Rojas-Murphy Tagle, A., & Lorca-Vyhmeister, A. (2021) · International Journal of Educational Technology in Higher Education

Online Learning and AnalyticsEducational and Technological Research

Cited by 131

Implicit Behavioral Cloning

Florence, P., Lynch, C., Zeng, A., Ramirez, O., Wahid, A., Downs, L., Wong, A., Lee, J., Mordatch, I., & Tompson, J. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 131

Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study

Lyu, W., Wang, Y., Chung, T. (., Sun, Y., & Zhang, Y. (2024) · Proceedings of the Eleventh ACM Conference on Learning @ Scale

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 131

Visual, textual or hybrid: the effect of user expertise on different explanations

Szymanski, M., Millecamp, M., & Verbert, K. (2021) · 26th International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 131