Check computer science papers: citations, claims and retractions

PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination

Goyal, S., Choudhury, A. R., Raje, S. M., Chakaravarthy, V. T., Sabharwal, Y., & Verma, A. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 117

Neutral atom quantum computing hardware: performance and end-user perspective

Wintersperger, K., Dommert, F., Ehmer, T., Hoursanov, A., Klepsch, J., Mauerer, W., Reuber, G., Strohm, T., Yin, M., & Luber, S. (2023) · EPJ Quantum Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 117

Distributed Learning, Communication Complexity and Privacy

Balcan, M.-F., Blum, A., Fine, S., & Mansour, Y. (2012) · arXiv

Privacy-Preserving Technologies in DataMachine Learning and Algorithms

Cited by 117

The distributed discrete gaussian mechanism for federated learning with secure aggregation

Kairouz, P., Liu, Z., & Steinke, T. (2021) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 117

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Tayara, H., & Chong, K. T. (2018) · Sensors

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 117

Communication-constrained multi-AUV cooperative SLAM

Paull, L., Huang, G., Seto, M., & Leonard, J. J. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationUnderwater Vehicles and Communication Systems

Cited by 116

Self-supervised driven consistency training for annotation efficient histopathology image analysis

Srinidhi, C. L., Kim, S. W., Chen, F.-D., & Martel, A. L. (2022) · Medical Image Analysis

AI in cancer detectionDomain Adaptation and Few-Shot Learning

Cited by 116

Towards Deeper Understanding of Variational Autoencoding Models

Zhao, S., Song, J., & Ermon, S. (2017) · arXiv

Generative Adversarial Networks and Image SynthesisGaussian Processes and Bayesian Inference

Cited by 116

AI literacy curriculum and its relation to children's perceptions of robots and attitudes towards engineering and science: An intervention study in early childhood education

Su, J., & Yang, W. (2024) · Journal of Computer Assisted Learning

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 116

High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning

Du, Y., Yang, S., & Huang, K. (2020) · IEEE Transactions on Signal Processing

Stochastic Gradient Optimization TechniquesPrivacy-Preserving Technologies in Data

Cited by 116

Cyberbullying Detection using Pre-Trained BERT Model

Yadav, J., Kumar, D., & Chauhan, D. (2020) · 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 116

A Human-Centered Review of Algorithms used within the U.S. Child Welfare System

Saxena, D., Badillo-Urquiola, K., Wisniewski, P. J., & Guha, S. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIChild Welfare and Adoption

Cited by 116

Automatic facial expression recognition on a single 3D face by exploring shape deformation

Gong, B., Wang, Y., Liu, J., & Tang, X. (2009) · Proceedings of the 17th ACM international conference on Multimedia

Face recognition and analysisFace and Expression Recognition

Cited by 116

Deconstructing datafication’s brave new world

Couldry, N., & Yu, J. (2018) · New Media & Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 116

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Chao, P., Debenedetti, E., Robey, A., Andriushchenko, M., Croce, F., Sehwag, V., Dobriban, E., Flammarion, N., Pappas, G., Tramèr, F., et al. (2024) · Advances in Neural Information Processing Systems 37

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 116

Full-Reference Quality Assessment of Stereoscopic Images by Learning Binocular Receptive Field Properties

Shao, F., Li, K., Lin, W., Jiang, G., Yu, M., & Dai, Q. (2015) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 116

Blockchain-based healthcare workflow for tele-medical laboratory in federated hospital IoT clouds

Celesti, A., Ruggeri, A., Fazio, M., Galletta, A., Villari, M., & Romano, A. (2020) · Sensors

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 116

Deep Deterministic Uncertainty: A New Simple Baseline

Mukhoti, J., Kirsch, A., van Amersfoort, J., Torr, P. H. S., & Gal, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 116

From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

Biermann, O. C., Ma, N. F., & Yoon, D. (2022) · Designing Interactive Systems Conference

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 116

How Different Groups Prioritize Ethical Values for Responsible AI

Jakesch, M., Buçinca, Z., Amershi, S., & Olteanu, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 116

Using persistent homology and dynamical distances to analyze protein binding

Kovacev-Nikolic, V., Bubenik, P., Nikolić, D., & Heo, G. (2016) · Statistical Applications in Genetics and Molecular Biology

Topological and Geometric Data AnalysisProtein Structure and Dynamics

Cited by 116

Watch this: Scalable cost-function learning for path planning in urban environments

Wulfmeier, M., Wang, D. Z., & Posner, I. (2016) · 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 116

RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving

El Madawi, K., Rashed, H., El Sallab, A., Nasr, O., Kamel, H., & Yogamani, S. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 116

Size Bounds for Factorised Representations of Query Results

Olteanu, D., & Závodný, J. (2015) · ACM Transactions on Database Systems

Advanced Database Systems and QueriesAdvanced Graph Theory Research

Cited by 116