Check computer science papers: citations, claims and retractions

Scalable Quantum Simulation of Molecular Energies

O’Malley, P. J. J., Babbush, R., Kivlichan, I. D., Romero, J., McClean, J. R., Barends, R., Kelly, J., Roushan, P., Tranter, A., Ding, N., et al. (2016) · Physical Review X

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 1,059

Learning extraction patterns for subjective expressions

Riloff, E., & Wiebe, J. (2003) · Proceedings of the 2003 conference on Empirical methods in natural language processing -

Sentiment Analysis and Opinion MiningNatural Language Processing Techniques

Cited by 1,059

Strong Quantum Computational Advantage Using a Superconducting Quantum Processor

Wu, Y., Bao, W.-S., Cao, S., Chen, F., Chen, M.-C., Chen, X., Chung, T.-H., Deng, H., Du, Y., Fan, D., et al. (2021) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,059

Neural Turing Machines

Graves, A., Wayne, G., & Danihelka, I. (2014) · arXiv

Neural Networks and ApplicationsNeural Networks and Reservoir Computing

Cited by 1,058

Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues

Qian, Y., Yin, G., Sheng, L., Chen, Z., & Shao, J. (2020) · Lecture Notes in Computer Science

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 1,058

Design and evaluation of a short version of the User Experience Questionnaire (UEQ-S)

Schrepp, M., Hinderks, A., & Thomaschewski, J. (2017) · International Journal of Interactive Multimedia and Artificial Intelligence

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 1,058

Deep reinforcement learning from human preferences

Christiano, P., Leike, J., Brown, T. B., Martic, M., Legg, S., & Amodei, D. (2017) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 1,058

Natural Adversarial Examples

Hendrycks, D., Zhao, K., Basart, S., Steinhardt, J., & Song, D. (2019) · arXiv

Adversarial Robustness in Machine LearningMachine Learning and Data Classification

Cited by 1,058

A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring

Yang, C.-C., & Hsu, Y.-L. (2010) · Sensors

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 1,058

Multi-column deep neural network for traffic sign classification

Cireşan, D., Meier, U., Masci, J., & Schmidhuber, J. (2012) · Neural Networks

Advanced Neural Network ApplicationsComputer Science and Engineering

Cited by 1,057

Domain adaptation for medical image analysis: A survey

Guan, H., & Liu, M. (2022) · IEEE Transactions on Biomedical Engineering

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 1,057

Methods to support human-centred design

MAGUIRE, M. (2001) · International Journal of Human-Computer Studies

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 1,057

Circuit-centric quantum classifiers

Schuld, M., Bocharov, A., Svore, K. M., & Wiebe, N. (2020) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1,057

Synthesizing Obama: learning lip sync from audio

Suwajanakorn, S., Seitz, S. M., & Kemelmacher-Shlizerman, I. (2017) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 1,057

Conditional DETR for Fast Training Convergence

Meng, D., Chen, X., Fan, Z., Zeng, G., Li, H., Yuan, Y., Sun, L., & Wang, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,055

Beyond the five-user assumption: benefits of increased sample sizes in usability testing

Faulkner, L. (2003) · Behavior Research Methods, Instruments, & Computers

Usability and User Interface DesignPersona Design and Applications

Cited by 1,053

A Competitive Swarm Optimizer for Large Scale Optimization

Cheng, R., & Jin, Y. (2015) · IEEE Transactions on Cybernetics

Metaheuristic Optimization Algorithms ResearchDistributed Control Multi-Agent Systems

Cited by 1,052

Siamese Box Adaptive Network for Visual Tracking

Chen, Z., Zhong, B., Li, G., Zhang, S., & Ji, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,052

Differentially Private Federated Learning: A Client Level Perspective

Geyer, R. C., Klein, T., & Nabi, M. (2017) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 1,052

One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Chelba, C., Mikolov, T., Schuster, M., Ge, Q., Brants, T., Koehn, P., & Robinson, T. (2013) · arXiv

Speech Recognition and SynthesisNatural Language Processing Techniques

Cited by 1,051

The Quest for Scalable Blockchain Fabric: Proof-of-Work vs. BFT Replication

Vukolić, M. (2016) · Lecture Notes in Computer Science

Blockchain Technology Applications and SecurityDistributed systems and fault tolerance

Cited by 1,051

Vision-Language Models for Vision Tasks: A Survey

Zhang, J., Huang, J., Jin, S., & Lu, S. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,051

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Wang, A., Pruksachatkun, Y., Nangia, N., Singh, A., Michael, J., Hill, F., Levy, O., & Bowman, S. R. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,051

Evidence for the utility of quantum computing before fault tolerance

Kim, Y., Eddins, A., Anand, S., Wei, K. X., van den Berg, E., Rosenblatt, S., Nayfeh, H., Wu, Y., Zaletel, M., Temme, K., et al. (2023) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,050