Check computer science papers: citations, claims and retractions

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Wu, Z., Xiong, Y., Yu, S. X., & Lin, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Image and Video Retrieval Techniques

Cited by 3,664

Acquisition of cognitive skill

Anderson, J. R. (1982) · Psychological Review

AI-based Problem Solving and PlanningVisual and Cognitive Learning Processes

Cited by 3,663

Geometric Deep Learning: Going beyond Euclidean data

Bronstein, M. M., Bruna, J., LeCun, Y., Szlam, A., & Vandergheynst, P. (2017) · IEEE Signal Processing Magazine

Advanced Graph Neural NetworksTopological and Geometric Data Analysis

Cited by 3,661

The case for vm-based cloudlets in mobile computing

Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing

IoT and Edge/Fog ComputingCloud Computing and Remote Desktop Technologies

Cited by 3,660

Hyperledger fabric: a distributed operating system for permissioned blockchains

Androulaki, E., Barger, A., Bortnikov, V., Cachin, C., Christidis, K., De Caro, A., Enyeart, D., Ferris, C., Laventman, G., Manevich, Y., et al. (2018) · Proceedings of the Thirteenth EuroSys Conference

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 3,654

Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

Ionescu, C., Papava, D., Olaru, V., & Sminchisescu, C. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionFace recognition and analysis

Cited by 3,653

Blockchain challenges and opportunities: a survey

Zheng, Z., Xie, S., Dai, H. N., Chen, X., & Wang, H. (2018) · International Journal of Web and Grid Services

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 3,651

Addressing Function Approximation Error in Actor-Critic Methods

Fujimoto, S., van Hoof, H., & Meger, D. (2018) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 3,650

Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

Chattopadhay, A., Sarkar, A., Howlader, P., & Balasubramanian, V. N. (2018) · 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 3,639

The SPLASH-2 programs: characterization and methodological considerations

Woo, S. C., Ohara, M., Torrie, E., Singh, J. P., & Gupta, A. (1995) · Proceedings of the 22nd annual international symposium on Computer architecture - ISCA '95

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 3,624

A statistical test suite for random and pseudorandom number generators for cryptographic applications

Bassham, L. E., Rukhin, A. L., Soto, J., Nechvatal, J. R., Smid, M. E., Barker, E. B., Leigh, S. D., Levenson, M., Vangel, M., Banks, D. L., et al. (2010) · NIST Special Publication 800-22 Revision 1a

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 3,617

Random Erasing Data Augmentation

Zhong, Z., Zheng, L., Kang, G., Li, S., & Yang, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,617

Random Erasing Data Augmentation

Zhong, Z., Zheng, L., Kang, G., Li, S., & Yang, Y. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,617

L -diversity: Privacy beyond k -anonymity

Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007) · ACM Transactions on Knowledge Discovery from Data

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 3,617

Categorical Reparameterization with Gumbel-Softmax

Jang, E., Gu, S., & Poole, B. (2016) · arXiv

Topic ModelingGaussian Processes and Bayesian Inference

Cited by 3,616

Quantum Discord: A Measure of the Quantumness of Correlations

Ollivier, H., & Zurek, W. H. (2001) · Physical Review Letters

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 3,616

A Convolutional Neural Network for Modelling Sentences

Kalchbrenner, N., Grefenstette, E., & Blunsom, P. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 3,601

Transformers in Vision: A Survey

Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2022) · ACM Computing Surveys

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 3,595

Transformers in Vision: A Survey

Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2021) · arXiv

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 3,594

Quantum computers

Ladd, T. D., Jelezko, F., Laflamme, R., Nakamura, Y., Monroe, C., & O’Brien, J. L. (2010) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 3,592

How to play ANY mental game

Goldreich, O., Micali, S., & Wigderson, A. (1987) · Proceedings of the nineteenth annual ACM conference on Theory of computing - STOC '87

Cryptography and Data SecurityGame Theory and Applications

Cited by 3,590

Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming

Goemans, M. X., & Williamson, D. P. (1995) · Journal of the ACM

Complexity and Algorithms in GraphsAdvanced Optimization Algorithms Research

Cited by 3,587

UpSetR: an R package for the visualization of intersecting sets and their properties

Conway, J. R., Lex, A., & Gehlenborg, N. (2017) · Bioinformatics

Data Visualization and AnalyticsBioinformatics and Genomic Networks

Cited by 3,586

UNETR: Transformers for 3D Medical Image Segmentation

Hatamizadeh, A., Tang, Y., Nath, V., Yang, D., Myronenko, A., Landman, B., Roth, H. R., & Xu, D. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 3,586