Check computer science papers: citations, claims and retractions

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network

Mehta, S., Rastegari, M., Shapiro, L., & Hajishirzi, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 551

TransFG: A Transformer Architecture for Fine-Grained Recognition

He, J., Chen, J.-N., Liu, S., Kortylewski, A., Yang, C., Bai, Y., & Wang, C. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 551

A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data

Preece, S. J., Goulermas, J. Y., Kenney, L. P. J., & Howard, D. (2009) · IEEE Transactions on Biomedical Engineering

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 551

Video Transformer Network

Neimark, D., Bar, O., Zohar, M., & Asselmann, D. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 551

Toward the first quantum simulation with quantum speedup

Childs, A. M., Maslov, D., Nam, Y., Ross, N. J., & Su, Y. (2018) · Proceedings of the National Academy of Sciences

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 551

Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

Nguyen, H. H., Fang, F., Yamagishi, J., & Echizen, I. (2019) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 551

The Impact of Avatar Personalization and Immersion on Virtual Body Ownership, Presence, and Emotional Response

Waltemate, T., Gall, D., Roth, D., Botsch, M., & Latoschik, M. E. (2018) · IEEE Transactions on Visualization and Computer Graphics

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 551

Quantum computing with neutral atoms

Henriet, L., Beguin, L., Signoles, A., Lahaye, T., Browaeys, A., Reymond, G.-O., & Jurczak, C. (2020) · Quantum

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 550

Learning to summarize from human feedback

Stiennon, N., Ouyang, L., Wu, J., Ziegler, D. M., Lowe, R., Voss, C., Radford, A., Amodei, D., & Christiano, P. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 550

AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions

Sarker, I. H. (2021) · SN Computer Science

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 550

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Yao, Y., Ye, D., Li, P., Han, X., Lin, Y., Liu, Z., Liu, Z., Huang, L., Zhou, J., & Sun, M. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 550

An automated essay scoring systems: a systematic literature review

Ramesh, D., & Sanampudi, S. K. (2022) · Artificial Intelligence Review

Educational Technology and AssessmentNatural Language Processing Techniques

Cited by 550

Cognitive internet of things: A new paradigm beyond connection

Wu, Q., Ding, G., Xu, Y., Feng, S., Du, Z., Wang, J., & Long, K. (2014) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 550

SOLOv2: Dynamic and Fast Instance Segmentation

Wang, X., Zhang, R., Kong, T., Li, L., & Shen, C. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 549

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

Muñoz-González, L., Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., & Roli, F. (2017) · Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 549

A Meet-in-the-Middle Algorithm for Fast Synthesis of Depth-Optimal Quantum Circuits

Amy, M., Maslov, D., Mosca, M., & Roetteler, M. (2013) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 549

Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos

Nguyen, H. H., Fang, F., Yamagishi, J., & Echizen, I. (2019) · 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 549

Knockoff Nets: Stealing Functionality of Black-Box Models

Orekondy, T., Schiele, B., & Fritz, M. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 549

Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air

Mohammadi Amiri, M., & Gunduz, D. (2020) · IEEE Transactions on Signal Processing

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 548

Neural Correlates of First-Person Perspective as One Constituent of Human Self-Consciousness

Vogeley, K., May, M., Ritzl, A., Falkai, P., Zilles, K., & Fink, G. R. (2004) · Journal of Cognitive Neuroscience

Virtual Reality Applications and ImpactsPhilosophy and Theoretical Science

Cited by 548

Deep reinforcement learning based computation offloading and resource allocation for MEC

Li, J., Gao, H., Lv, T., & Lu, Y. (2018) · 2018 IEEE Wireless Communications and Networking Conference (WCNC)

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 548

Privacy and Robustness in Federated Learning: Attacks and Defenses

Lyu, L., Yu, H., Ma, X., Chen, C., Sun, L., Zhao, J., Yang, Q., & Yu, P. S. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 548

Data and its (dis)contents: A survey of dataset development and use in machine learning research

Paullada, A., Raji, I. D., Bender, E. M., Denton, E., & Hanna, A. (2021) · Patterns

Ethics and Social Impacts of AIMachine Learning and Data Classification

Cited by 548

Modelling uncertainty in deep learning for camera relocalization

Kendall, A., & Cipolla, R. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 548