Check computer science papers: citations, claims and retractions

Network Function Virtualization: State-of-the-Art and Research Challenges

Mijumbi, R., Serrat, J., Gorricho, J.-L., Bouten, N., De Turck, F., & Boutaba, R. (2016) · IEEE Communications Surveys & Tutorials

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 1,933

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

Gong, D., Liu, L., Le, V., Saha, B., Mansour, M. R., Venkatesh, S., & Van Den Hengel, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 1,930

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Chen, S., Wang, C., Chen, Z., Wu, Y., Liu, S., Chen, Z., Li, J., Kanda, N., Yoshioka, T., Xiao, X., et al. (2022) · IEEE Journal of Selected Topics in Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1,926

A Survey on Large Language Model based Autonomous Agents

Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., et al. (2023) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 1,925

BOINC: A System for Public-Resource Computing and Storage

Anderson, D. P. (2005) · Fifth IEEE/ACM International Workshop on Grid Computing

Distributed and Parallel Computing SystemsCloud Computing and Resource Management

Cited by 1,924

Analyzing Learned Molecular Representations for Property Prediction

Yang, K., Swanson, K., Jin, W., Coley, C., Eiden, P., Gao, H., Guzman-Perez, A., Hopper, T., Kelley, B., Mathea, M., et al. (2019) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 1,923

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., & He, X. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1,923

80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

Torralba, A., Fergus, R., & Freeman, W. T. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 1,921

cocor: A Comprehensive Solution for the Statistical Comparison of Correlations

Diedenhofen, B., & Musch, J. (2015) · PLOS ONE

Data Analysis with RMultidisciplinary Science and Engineering Research

Cited by 1,919

Describing objects by their attributes

Farhadi, A., Endres, I., Hoiem, D., & Forsyth, D. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 1,917

Symmetric Ciphers Based on Two-Dimensional Chaotic Maps

Fridrich, J. (1998) · International Journal of Bifurcation and Chaos

Chaos-based Image/Signal EncryptionMathematical Dynamics and Fractals

Cited by 1,917

Fidelity for Mixed Quantum States

Jozsa, R. (1994) · Journal of Modern Optics

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 1,911

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Bengio, Y., Léonard, N., & Courville, A. (2013) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 1,910

On blockchain and its integration with IoT. Challenges and opportunities

Reyna, A., Martín, C., Chen, J., Soler, E., & Díaz, M. (2018) · Future Generation Computer Systems

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 1,908

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Zhang, Z., & Sabuncu, M. R. (2018) · arXiv

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 1,907

Language-based information-flow security

Sabelfeld, A., & Myers, A. C. (2003) · IEEE Journal on Selected Areas in Communications

Security and Verification in ComputingLogic, programming, and type systems

Cited by 1,907

A lattice model of secure information flow

Denning, D. E. (1976) · Communications of the ACM

Security and Verification in ComputingAccess Control and Trust

Cited by 1,907

Deep Leakage from Gradients

Zhu, L., & Han, S. (2020) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 1,906

Deep Learning Face Representation by Joint Identification-Verification

Sun, Y., Wang, X., & Tang, X. (2014) · arXiv

Face recognition and analysisFace and Expression Recognition

Cited by 1,906

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Malkov, Y. A., & Yashunin, D. A. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesData Management and Algorithms

Cited by 1,904

The Wealth of Networks: How Social Production Transforms Markets and Freedom

Benkler, Y. (2006) · Choice Reviews Online

Open Source Software InnovationsIntellectual Property Rights and Media

Cited by 1,903

Some optimal inapproximability results

Håstad, J. (2001) · Journal of the ACM

Complexity and Algorithms in GraphsAdvanced Graph Theory Research

Cited by 1,902

Machine learning algorithm validation with a limited sample size

Vabalas, A., Gowen, E., Poliakoff, E., & Casson, A. J. (2019) · PLOS ONE

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 1,901

Parallel convolutional processing using an integrated photonic tensor core

Feldmann, J., Youngblood, N., Karpov, M., Gehring, H., Li, X., Stappers, M., Le Gallo, M., Fu, X., Lukashchuk, A., Raja, A. S., et al. (2021) · Nature

Neural Networks and Reservoir ComputingPhotonic and Optical Devices

Cited by 1,900