Check computer science papers: citations, claims and retractions

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

Lees, A., Tran, V. Q., Tay, Y., Sorensen, J., Gupta, J., Metzler, D., & Vasserman, L. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 155

Seven Failure Points When Engineering a Retrieval Augmented Generation System

Barnett, S., Kurniawan, S., Thudumu, S., Brannelly, Z., & Abdelrazek, M. (2024) · Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI

Information Retrieval and Search BehaviorTopic Modeling

Cited by 155

Applying Blockchain Technology: Evidence from Norwegian Companies

Gausdal, A. H., Czachorowski, K. V., & Solesvik, M. Z. (2018) · Sustainability

Blockchain Technology Applications and SecurityImpact of AI and Big Data on Business and Society

Cited by 155

Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends

Gan, Z., Li, L., Li, C., Wang, L., Liu, Z., & Gao, J. (2022) · Foundations and Trends® in Computer Graphics and Vision

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 155

Validation of whole slide imaging for primary diagnosis in surgical pathology

Bauer, T. W., Schoenfield, L., Slaw, R. J., Yerian, L., Sun, Z., & Henricks, W. H. (2013) · Archives of Pathology & Laboratory Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 155

Theoretical Accuracy of Model-Based Shape Matching for Measuring Natural Knee Kinematics with Single-Plane Fluoroscopy

Fregly, B. J., Rahman, H. A., & Banks, S. A. (2005) · Journal of Biomechanical Engineering

Medical Image Segmentation TechniquesKnee injuries and reconstruction techniques

Cited by 155

A Survey on Contrastive Self-Supervised Learning

Jaiswal, A., Babu, A. R., Zadeh, M. Z., Banerjee, D., & Makedon, F. (2020) · Technologies

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 154

The Accurate and Efficient Solution of a Totally Positive Generalized Vandermonde Linear System

Demmel, J., & Koev, P. (2005) · SIAM Journal on Matrix Analysis and Applications

Matrix Theory and AlgorithmsMathematical functions and polynomials

Cited by 154

Automated face swapping and its detection

Zhang, Y., Zheng, L., & Thing, V. L. L. (2017) · 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 154

Investigating selection and reading performance on a mobile phone while walking

Schildbach, B., & Rukzio, E. (2010) · Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 154

Dissipative Quantum Church-Turing Theorem

Kliesch, M., Barthel, T., Gogolin, C., Kastoryano, M., & Eisert, J. (2011) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 154

SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

Liu, H., Teng, Y., Lu, T., Wang, H., & Wang, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 154

An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy

Perincheri, S., Levi, A. W., Celli, R., Gershkovich, P., Rimm, D., Morrow, J. S., Rothrock, B., Raciti, P., Klimstra, D., & Sinard, J. (2021) · Modern Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 154

Growing a Brain: Fine-Tuning by Increasing Model Capacity

Wang, Y.-X., Ramanan, D., & Hebert, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 154

Voice as sound: using non-verbal voice input for interactive control

Igarashi, T., & Hughes, J. F. (2001) · Proceedings of the 14th annual ACM symposium on User interface software and technology

Speech and dialogue systemsUsability and User Interface Design

Cited by 154

When the wait isn’t so bad: The interacting effects of website delay, familiarity, and breadth

Galletta, D. F., Henry, R. M., McCoy, S., & Polak, P. (2006) · Information Systems Research

Usability and User Interface DesignTechnology Adoption and User Behaviour

Cited by 154

Sim2Real in Robotics and Automation: Applications and Challenges

Hofer, S., Bekris, K., Handa, A., Gamboa, J. C., Mozifian, M., Golemo, F., Atkeson, C., Fox, D., Goldberg, K., Leonard, J., et al. (2021) · IEEE Transactions on Automation Science and Engineering

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 154

In-IDE Code Generation from Natural Language: Promise and Challenges

Xu, F. F., Vasilescu, B., & Neubig, G. (2022) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 154

Virtual Reality Exposure Therapy for Post-Traumatic Stress Disorder and Other Anxiety Disorders

Gerardi, M., Cukor, J., Difede, J., Rizzo, A., & Rothbaum, B. O. (2010) · Current Psychiatry Reports

Virtual Reality Applications and ImpactsPosttraumatic Stress Disorder Research

Cited by 154

How Context Affects Language Models' Factual Predictions

Petroni, F., Lewis, P., Piktus, A., Rocktäschel, T., Wu, Y., Miller, A. H., & Riedel, S. (2020) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 154

Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers

Dai, D., Sun, Y., Dong, L., Hao, Y., Ma, S., Sui, Z., & Wei, F. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 154

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation

Cho, W., Choi, S., Park, D. K., Shin, I., & Choo, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 154

Children and the Internet: experiments with minimally invasive education in India

Mitra, S., & Rana, V. (2001) · British Journal of Educational Technology

ICT in Developing CommunitiesChild Development and Digital Technology

Cited by 154

The problem of infra-marginality in outcome tests for discrimination

Simoiu, C., Corbett-Davies, S., & Goel, S. (2017) · The Annals of Applied Statistics

Ethics and Social Impacts of AINames, Identity, and Discrimination Research

Cited by 154