Check computer science papers: citations, claims and retractions

What is AI Literacy? Competencies and Design Considerations

Long, D., & Magerko, B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Digital literacy in educationInnovative Human-Technology Interaction

Cited by 3,241

Systematic Mapping Studies in Software Engineering

Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008) · Electronic Workshops in Computing

Software Engineering Techniques and PracticesMeta-analysis and systematic reviews

Cited by 3,239

Applications of machine learning in drug discovery and development

Vamathevan, J., Clark, D., Czodrowski, P., Dunham, I., Ferran, E., Lee, G., Li, B., Madabhushi, A., Shah, P., Spitzer, M., et al. (2019) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 3,228

ZINC 15 – Ligand Discovery for Everyone

Sterling, T., & Irwin, J. J. (2015) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 3,224

RandAugment: Practical automated data augmentation with a reduced search space

Cubuk, E. D., Zoph, B., Shlens, J., & Le, Q. V. (2019) · arXiv

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 3,223

Randaugment: Practical automated data augmentation with a reduced search space

Cubuk, E. D., Zoph, B., Shlens, J., & Le, Q. V. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 3,223

SciBERT: A Pretrained Language Model for Scientific Text

Beltagy, I., Lo, K., & Cohan, A. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingMultimodal Machine Learning Applications

Cited by 3,218

Heterogeneous Graph Attention Network

Wang, X., Ji, H., Shi, C., Wang, B., Ye, Y., Cui, P., & Yu, P. S. (2019) · The World Wide Web Conference

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 3,191

Factorization Machines

Rendle, S. (2010) · 2010 IEEE International Conference on Data Mining

Recommender Systems and TechniquesStochastic Gradient Optimization Techniques

Cited by 3,189

Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures

Wang, Z., & Bovik, A. C. (2009) · IEEE Signal Processing Magazine

Image and Video Quality AssessmentAdvanced Data Compression Techniques

Cited by 3,175

Mind over Machine: The Power of Human Intuition and Expertise in the Era of the Computer

Dreyfus, H. L., Drey-fus, S. E., & Zadeh, L. A. (1987) · IEEE Expert

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 3,172

Conducting behavioral research on Amazon’s Mechanical Turk

Mason, W., & Suri, S. (2012) · Behavior Research Methods

Mobile Crowdsensing and CrowdsourcingExperimental Behavioral Economics Studies

Cited by 3,172

Transformer-XL: Attentive language models beyond a fixed-length context

Dai, Z., Yang, Z., Yang, Y., Carbonell, J., Le, Q., & Salakhutdinov, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 3,169

Generalizing from a Few Examples: A Survey on Few-shot Learning

Wang, Y., Yao, Q., Kwok, J. T., & Ni, L. M. (2021) · ACM Computing Surveys

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 3,165

D³ Data-Driven Documents

Bostock, M., Ogievetsky, V., & Heer, J. (2011) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsComputer Graphics and Visualization Techniques

Cited by 3,165

Reinforcement learning in robotics: A survey

Kober, J., Bagnell, J. A., & Peters, J. (2013) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 3,160

A Survey on Evaluation of Large Language Models

Chang, Y., Wang, X., Wang, J., Wu, Y., Yang, L., Zhu, K., Chen, H., Yi, X., Wang, C., Wang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3,159

Conformer: Convolution-augmented Transformer for Speech Recognition

Gulati, A., Qin, J., Chiu, C.-C., Parmar, N., Zhang, Y., Yu, J., Han, W., Wang, S., Zhang, Z., Wu, Y., et al. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 3,150

Conformer: Convolution-augmented Transformer for Speech Recognition

Gulati, A., Qin, J., Chiu, C.-C., Parmar, N., Zhang, Y., Yu, J., Han, W., Wang, S., Zhang, Z., Wu, Y., et al. (2020) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 3,150

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

Oquab, M., Bottou, L., Laptev, I., & Sivic, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 3,150

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Shahroudy, A., Liu, J., Ng, T.-T., & Wang, G. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 3,148

Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence

Kaplan, A., & Haenlein, M. (2019) · Business Horizons

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 3,140

Audio Set: An ontology and human-labeled dataset for audio events

Gemmeke, J. F., Ellis, D. P. W., Freedman, D., Jansen, A., Lawrence, W., Moore, R. C., Plakal, M., & Ritter, M. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingSpeech and Audio Processing

Cited by 3,134

What energy functions can be minimized via graph cuts?

Kolmogorov, V., & Zabih, R. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesAdvanced Vision and Imaging

Cited by 3,127