Check computer science papers: citations, claims and retractions

Beyond Neural Scaling Laws: Beating Power Law Scaling Via Data Pruning

Sorscher, B., Geirhos, R., Shekhar, S., Ganguli, S., & Morcos, A. (2022) · Advances in Neural Information Processing Systems 35

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 142

AI strategy of India: policy framework, adoption challenges and actions for government

Chatterjee, S. (2020) · Transforming Government: People, Process and Policy

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 142

Exploring the Limits of Out-of-Distribution Detection

Fort, S., Ren, J., & Lakshminarayanan, B. (2021) · arXiv

Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications

Cited by 142

Sources of Hallucination by Large Language Models on Inference Tasks

McKenna, N., Li, T., Cheng, L., Hosseini, M., Johnson, M., & Steedman, M. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 142

Objects2action: Classifying and Localizing Actions without Any Video Example

Jain, M., Gemert, J. C. V., Mensink, T., & Snoek, C. G. M. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 142

Measuring Coding Challenge Competence With APPS

Hendrycks, D., Basart, S., Kadavath, S., Mazeika, M., Arora, A., Guo, E., Burns, C., Puranik, S., He, H., Song, D., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 142

shapeShift: 2D Spatial Manipulation and Self-Actuation of Tabletop Shape Displays for Tangible and Haptic Interaction

Siu, A. F., Gonzalez, E. J., Yuan, S., Ginsberg, J. B., & Follmer, S. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysTactile and Sensory Interactions

Cited by 142

Quantum Speed-Ups for Solving Semidefinite Programs

Brandao, F. G. S. L., & Svore, K. M. (2017) · 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS)

Quantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms Research

Cited by 142

Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis

Liu, Z., Ren, L., Xiao, C., Zhang, K., & Demian, P. (2022) · International Journal of Environmental Research and Public Health

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 142

Application of Ising Machines and a Software Development for Ising Machines

Tanahashi, K., Takayanagi, S., Motohashi, T., & Tanaka, S. (2019) · Journal of the Physical Society of Japan

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 142

Educating software and ai stakeholders about algorithmic fairness, accountability, transparency and ethics

Bogina, V., Hartman, A., Kuflik, T., & Shulner-Tal, A. (2022) · International Journal of Artificial Intelligence in Education

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 142

Cinematic virtual reality: Evaluating the effect of display type on the viewing experience for panoramic video

MacQuarrie, A., & Steed, A. (2017) · 2017 IEEE Virtual Reality (VR)

Virtual Reality Applications and ImpactsAdvanced Optical Imaging Technologies

Cited by 142

A novel cyber-risk assessment method for ship systems

Bolbot, V., Theotokatos, G., Boulougouris, E., & Vassalos, D. (2020) · Safety Science

Information and Cyber SecurityMaritime Navigation and Safety

Cited by 142

Learning to cluster faces on an affinity graph

Yang, L., Zhan, X., Chen, D., Yan, J., Loy, C. C., & Lin, D. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisFace and Expression Recognition

Cited by 142

NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning

Baziotis, C., Nikolaos, A., Chronopoulou, A., Kolovou, A., Paraskevopoulos, G., Ellinas, N., Narayanan, S., & Potamianos, A. (2018) · Proceedings of The 12th International Workshop on Semantic Evaluation

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 142

A Theory of Usable Information Under Computational Constraints

Xu, Y., Zhao, S., Song, J., Stewart, R., & Ermon, S. (2020) · arXiv

Computability, Logic, AI AlgorithmsDiverse Interdisciplinary Research Studies

Cited by 142

Marginal space deep learning: efficient architecture for volumetric image parsing

Ghesu, F. C., Krubasik, E., Georgescu, B., Singh, V., Zheng, Y., Hornegger, J., & Comaniciu, D. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 142

Artificial intelligence in pancreatic cancer

Huang, B., Huang, H., Zhang, S., Zhang, D., Shi, Q., Liu, J., & Guo, J. (2022) · Theranostics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 142

The Curious Case of Hallucinations in Neural Machine Translation

Raunak, V., Menezes, A., & Junczys-Dowmunt, M. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 142

Natural language-based machine learning models for the annotation of clinical radiology reports

Zech, J., Pain, M., Titano, J., Badgeley, M., Schefflein, J., Su, A., Costa, A., Bederson, J., Lehar, J., & Oermann, E. K. (2018) · Radiology

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 142

The Curious Case of Hallucinations in Neural Machine Translation

Raunak, V., Menezes, A., & Junczys-Dowmunt, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesTopic Modeling

Cited by 142

A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography

Jacob, G., Noble, J. A., Behrenbruch, C., Kelion, A. D., & Banning, A. P. (2002) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesCardiovascular Function and Risk Factors

Cited by 142

How Programmers Debug, Revisited: An Information Foraging Theory Perspective

Lawrance, J., Bogart, C., Burnett, M., Bellamy, R., Rector, K., & Fleming, S. D. (2013) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 142

Can language models learn from explanations in context?

Lampinen, A., Dasgupta, I., Chan, S., Mathewson, K., Tessler, M., Creswell, A., McClelland, J., Wang, J., & Hill, F. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingNatural Language Processing Techniques

Cited by 142