Check computer science papers: citations, claims and retractions

A survey on multimodal large language models

Yin, S., Fu, C., Zhao, S., Li, K., Sun, X., Xu, T., & Chen, E. (2024) · National Science Review

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 893

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Shoeybi, M., Patwary, M., Puri, R., LeGresley, P., Casper, J., & Catanzaro, B. (2019) · arXiv

Topic ModelingParallel Computing and Optimization Techniques

Cited by 893

Temporal Action Detection with Structured Segment Networks

Zhao, Y., Xiong, Y., Wang, L., Wu, Z., Tang, X., & Lin, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 892

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

Khan, L. U., Saad, W., Han, Z., Hossain, E., & Hong, C. S. (2021) · IEEE Communications Surveys & Tutorials

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 892

The LRU-K page replacement algorithm for database disk buffering

O'Neil, E. J., O'Neil, P. E., & Weikum, G. (1993) · Proceedings of the 1993 ACM SIGMOD international conference on Management of data

Advanced Database Systems and QueriesAdvanced Data Storage Technologies

Cited by 892

Deep convolutional neural fields for depth estimation from a single image

Liu, F., Shen, C., & Lin, G. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 892

Historical review of OCR research and development

Mori, S., Suen, C. Y., & Yamamoto, K. (1992) · Proceedings of the IEEE

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 892

Data augmentation: A comprehensive survey of modern approaches

Mumuni, A., & Mumuni, F. (2022) · Array

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 891

Zero-Shot Learning — The Good, the Bad and the Ugly

Xian, Y., Schiele, B., & Akata, Z. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 891

Scaling Vision Transformers

Zhai, X., Kolesnikov, A., Houlsby, N., & Beyer, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 891

Beyond accuracy: behavioral testing of NLP models with CheckList

Ribeiro, M. T., Wu, T., Guestrin, C., & Singh, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Software Testing and Debugging TechniquesTopic Modeling

Cited by 890

Tools for privacy preserving distributed data mining

Clifton, C., Kantarcioglu, M., Vaidya, J., Lin, X., & Zhu, M. Y. (2002) · ACM SIGKDD Explorations Newsletter

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 890

CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

Bhatt, D., Patel, C., Talsania, H., Patel, J., Vaghela, R., Pandya, S., Modi, K., & Ghayvat, H. (2021) · Electronics

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 890

Deep Q-learning From Demonstrations

Hester, T., Vecerik, M., Pietquin, O., Lanctot, M., Schaul, T., Piot, B., Horgan, D., Quan, J., Sendonaris, A., Osband, I., et al. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 889

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Chen, L., Zaharia, M., & Zou, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 889

Virtual reality exposure therapy for anxiety and related disorders: a meta-analysis of randomized controlled trials

Carl, E., Stein, A. T., Levihn-Coon, A., Pogue, J. R., Rothbaum, B., Emmelkamp, P., Asmundson, G. J. G., Carlbring, P., & Powers, M. B. (2019) · Journal of Anxiety Disorders

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 889

Designing for Motivation, Engagement and Wellbeing in Digital Experience

Peters, D., Calvo, R. A., & Ryan, R. M. (2018) · Frontiers in Psychology

Innovative Human-Technology InteractionMotivation and Self-Concept in Sports

Cited by 888

Learn++: an incremental learning algorithm for supervised neural networks

Polikar, R., Upda, L., Upda, S. S., & Honavar, V. (2001) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews)

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 888

FastText.zip: Compressing text classification models

Joulin, A., Grave, E., Bojanowski, P., Douze, M., Jégou, H., & Mikolov, T. (2016) · arXiv

Topic ModelingHate Speech and Cyberbullying Detection

Cited by 887

Photographic Image Synthesis with Cascaded Refinement Networks

Chen, Q., & Koltun, V. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques

Cited by 887

Increasing value and reducing waste: addressing inaccessible research

Chan, A.-W., Song, F., Vickers, A., Jefferson, T., Dickersin, K., Gøtzsche, P. C., Krumholz, H. M., Ghersi, D., & van der Worp, H. B. (2014) · The Lancet

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 887

Evaluation of Mouse, Rate-Controlled Isometric Joystick, Step Keys, and Text Keys for Text Selection on a CRT

CARD, S. K., ENGLISH, W. K., & BURR, B. J. (1978) · Ergonomics

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 887

Blockchained On-Device Federated Learning

Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2020) · IEEE Communications Letters

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 887

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

Rasmy, L., Xiang, Y., Xie, Z., Tao, C., & Zhi, D. (2021) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 886