Check computer science papers: citations, claims and retractions

How were new medicines discovered?

Swinney, D. C., & Anthony, J. (2011) · Nature Reviews Drug Discovery

Computational Drug Discovery MethodsPharmaceutical Economics and Policy

Cited by 1,812

GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

Huang, L., Zhao, X., & Huang, K. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,809

ResNeSt: Split-Attention Networks

Zhang, H., Wu, C., Zhang, Z., Zhu, Y., Lin, H., Zhang, Z., Sun, Y., He, T., Mueller, J., Manmatha, R., et al. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,809

Dynamical Decoupling of Open Quantum Systems

Viola, L., Knill, E., & Lloyd, S. (1999) · Physical Review Letters

Quantum Information and CryptographyQuantum Computing Algorithms and Architecture

Cited by 1,808

ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?

Rudolph, J., Tan, S., & Tan, S. (2023) · Journal of Applied Learning & Teaching

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 1,806

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Yang, Z., Qi, P., Zhang, S., Bengio, Y., Cohen, W., Salakhutdinov, R., & Manning, C. D. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 1,804

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Su, Y., Zhao, Y., Niu, C., Liu, R., Sun, W., & Pei, D. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 1,804

Violin Plots: A Box Plot-Density Trace Synergism

Hintze, J. L., & Nelson, R. D. (1998) · The American Statistician

Data Visualization and AnalyticsSAS software applications and methods

Cited by 1,802

Efficient Memory Management for Large Language Model Serving with PagedAttention

Kwon, W., Li, Z., Zhuang, S., Sheng, Y., Zheng, L., Yu, C. H., Gonzalez, J. E., Zhang, H., & Stoica, I. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1,802

Towards Open Set Deep Networks

Bendale, A., & Boult, T. E. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 1,799

Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods

Cleveland, W. S., & McGill, R. (1984) · Journal of the American Statistical Association

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 1,796

Quantum cellular automata

Lent, C. S., Tougaw, P. D., Porod, W., & Bernstein, G. H. (1993) · Nanotechnology

Cellular Automata and ApplicationsQuantum-Dot Cellular Automata

Cited by 1,793

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Li, C., Li, L., Jiang, H., Weng, K., Geng, Y., Li, L., Ke, Z., Li, Q., Cheng, M., Nie, W., et al. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,792

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

Woo, S., Debnath, S., Hu, R., Chen, X., Liu, Z., Kweon, I. S., & Xie, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,791

A Quantum Approximate Optimization Algorithm

Farhi, E., Goldstone, J., & Gutmann, S. (2014) · arXiv

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 1,789

An Iterative Regularization Method for Total Variation-Based Image Restoration

Osher, S., Burger, M., Goldfarb, D., Xu, J., & Yin, W. (2005) · Multiscale Modeling & Simulation

Image and Signal Denoising MethodsNumerical methods in inverse problems

Cited by 1,787

TinyBERT: Distilling BERT for natural language understanding

Jiao, X., Yin, Y., Shang, L., Jiang, X., Chen, X., Li, L., Wang, F., & Liu, Q. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Topic ModelingAdvanced Neural Network Applications

Cited by 1,786

Bayesian Filtering and Smoothing

Särkkä, S. (2013) · Cambridge University Press eBooks

Target Tracking and Data Fusion in Sensor NetworksControl Systems and Identification

Cited by 1,784

Computational thinking and thinking about computing

Wing, J. M. (2008) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Teaching and Learning ProgrammingDigital Education and Society

Cited by 1,784

Continual Learning Through Synaptic Intelligence

Zenke, F., Poole, B., & Ganguli, S. (2017) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 1,784

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 1,781

Expressive Body Capture: 3D Hands, Face, and Body From a Single Image

Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A. A., Tzionas, D., & Black, M. J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 1,781

Pingouin: statistics in Python

Vallat, R. (2018) · Journal of Open Source Software

Computational Physics and Python ApplicationsData Analysis with R

Cited by 1,780

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Lugmayr, A., Danelljan, M., Romero, A., Yu, F., Timofte, R., & Van Gool, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 1,778