Check computer science papers: citations, claims and retractions

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Wang, W., Wei, F., Dong, L., Bao, H., Yang, N., & Zhou, M. (2020) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 703

Guided Search 6.0: an updated model of visual search

Wolfe, J. M. (2021) · Psychonomic Bulletin & Review

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 703

Algorithms for automatic modulation recognition of communication signals

Nandi, A. K., & Azzouz, E. E. (1998) · IEEE Transactions on Communications

Wireless Signal Modulation ClassificationCognitive Radio Networks and Spectrum Sensing

Cited by 703

Analyzing Federated Learning through an Adversarial Lens

Bhagoji, A. N., Chakraborty, S., Mittal, P., & Calo, S. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 703

A reference model for learning analytics

Chatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012) · International Journal of Technology Enhanced Learning

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 702

Lip reading sentences in the wild

Chung, J. S., Senior, A., Vinyals, O., & Zisserman, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Speech and Audio ProcessingHand Gesture Recognition Systems

Cited by 702

TuckER: Tensor Factorization for Knowledge Graph Completion

Balažević, I., Allen, C., & Hospedales, T. M. (2019) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 702

Speech Emotion Recognition Using Deep Learning Techniques: A Review

Khalil, R. A., Jones, E., Babar, M. I., Jan, T., Zafar, M. H., & Alhussain, T. (2019) · IEEE Access

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 702

Elucidating the Design Space of Diffusion-Based Generative Models

Karras, T., Aittala, M., Aila, T., & Laine, S. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 702

This Looks Like That: Deep Learning for Interpretable Image Recognition

Chen, C., Li, O., Tao, C., Barnett, A. J., Su, J., & Rudin, C. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 702

Integral histogram: a fast way to extract histograms in Cartesian spaces

Porikli, F. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 701

Topological Quantum Distillation

Bombin, H., & Martin-Delgado, M. A. (2006) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 700

Badges to Acknowledge Open Practices: A Simple, Low-Cost, Effective Method for Increasing Transparency

Kidwell, M. C., Lazarević, L. B., Baranski, E., Hardwicke, T. E., Piechowski, S., Falkenberg, L.-S., Kennett, C., Slowik, A., Sonnleitner, C., Hess-Holden, C., et al. (2016) · PLOS Biology

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 700

Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Kuhn, L., Gal, Y., & Farquhar, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 700

Colloquium : Quantum annealing and analog quantum computation

Das, A., & Chakrabarti, B. K. (2008) · Reviews of Modern Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 700

Language to Logical Form with Neural Attention

Dong, L., & Lapata, M. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 700

Two-Stream Neural Networks for Tampered Face Detection

Zhou, P., Han, X., Morariu, V. I., & Davis, L. S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 700

A survey of machine learning techniques applied to software defined networking (sdn): research issues and challenges

Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 700

An on-chip photonic deep neural network for image classification

Ashtiani, F., Geers, A. J., & Aflatouni, F. (2022) · Nature

Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing

Cited by 699

Model-Agnostic Interpretability of Machine Learning

Ribeiro, M. T., Singh, S., & Guestrin, C. (2016) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 699

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Sattler, T., Maddern, W., Toft, C., Torii, A., Hammarstrand, L., Stenborg, E., Safari, D., Okutomi, M., Pollefeys, M., Sivic, J., et al. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 699

Behavioral, Neural, and Computational Principles of Bodily Self-Consciousness

Blanke, O., Slater, M., & Serino, A. (2015) · Neuron

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 698

Carrots and Rainbows: Motivation and Social Practice in Open Source Software Development1

von Krogh, G., Haefliger, S., Spaeth, S., & Wallin, M. W. (2012) · MIS Quarterly

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 698

What do you learn from context? Probing for sentence structure in contextualized word representations

Tenney, I., Xia, P., Chen, B., Wang, A., Poliak, A., McCoy, R. T., Kim, N., Van Durme, B., Bowman, S. R., Das, D., et al. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 698