Check computer science papers: citations, claims and retractions

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

Liu, X., Peng, H., Zheng, N., Yang, Y., Hu, H., & Yuan, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 956

The Case for Learned Index Structures

Kraska, T., Beutel, A., Chi, E. H., Dean, J., & Polyzotis, N. (2018) · Proceedings of the 2018 International Conference on Management of Data

Advanced Database Systems and QueriesAlgorithms and Data Compression

Cited by 956

Storm@twitter

Toshniwal, A., Taneja, S., Shukla, A., Ramasamy, K., Patel, J. M., Kulkarni, S., Jackson, J., Gade, K., Fu, M., Donham, J., et al. (2014) · Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data

Advanced Database Systems and QueriesCloud Computing and Resource Management

Cited by 956

Deep learning based feature selection for remote sensing scene classification

Zou, Q., Ni, L., Zhang, T., & Wang, Q. (2015) · IEEE Geoscience and Remote Sensing Letters

Remote-Sensing Image ClassificationAdvanced Image and Video Retrieval Techniques

Cited by 956

AI in CAI: An Artificial-Intelligence Approach to Computer-Assisted Instruction

Carbonell, J. (1970) · IEEE Transactions on Man Machine Systems

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 955

AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualität

Hassenzahl, M., Burmester, M., & Koller, F. (2003) · Berichte des German Chapter of the ACM

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 955

A performance evaluation of local descriptors

Mikolajczyk, K., & Schmid, C. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 955

Neural 3D Mesh Renderer

Kato, H., Ushiku, Y., & Harada, T. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 954

If I were you: Perceptual illusion of body swapping

Petkova, V. I., & Ehrsson, H. H. (2008) · PLoS ONE

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 953

Perceptual Generative Adversarial Networks for Small Object Detection

Li, J., Liang, X., Wei, Y., Xu, T., Feng, J., & Yan, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 953

Hierarchical Models in the Brain

Friston, K. (2008) · PLoS Computational Biology

Bayesian Modeling and Causal InferenceGaussian Processes and Bayesian Inference

Cited by 952

Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm

Reynolds, L., & McDonell, K. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 952

A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications

Wang, S., Zhang, X., Zhang, Y., Wang, L., YANG, J., & Wang, W. (2017) · IEEE Access

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 952

ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

Kim, W., Son, B., & Kim, I. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 951

DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time

Newcombe, R. A., Fox, D., & Seitz, S. M. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 951

Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos

Nguyen, H. H., Yamagishi, J., & Echizen, I. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Digital Media Forensic DetectionBiometric Identification and Security

Cited by 951

Grammatical evolution

O'Neill, M., & Ryan, C. (2001) · IEEE Transactions on Evolutionary Computation

Evolutionary Algorithms and ApplicationsLogic, programming, and type systems

Cited by 951

The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency

Francisco, K., & Swanson, D. (2018) · Logistics

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 951

Neural Machine Translation of Rare Words with Subword Units

Sennrich, R., Haddow, B., & Birch, A. (2015) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 950

VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Su, W., Zhu, X., Cao, Y., Li, B., Lu, L., Wei, F., & Dai, J. (2019) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 950

An Interoceptive Predictive Coding Model of Conscious Presence

Seth, A. K., Suzuki, K., & Critchley, H. D. (2012) · Frontiers in Psychology

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 950

Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers

Chandler, J., Mueller, P., & Paolacci, G. (2014) · Behavior Research Methods

Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse

Cited by 950

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment

Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., & Zhu, C. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 948

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., & Zhu, C. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 948