Check computer science papers: citations, claims and retractions

PyTorchFI: A Runtime Perturbation Tool for DNNs

Mahmoud, A., Aggarwal, N., Nobbe, A., Vicarte, J. R. S., Adve, S. V., Fletcher, C. W., Frosio, I., & Hari, S. K. S. (2020) · 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 140

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Esser, P., Kulal, S., Blattmann, A., Entezari, R., Müller, J., Saini, H., Levi, Y., Lorenz, D., Sauer, A., Boesel, F., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 140

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Yu, H., Shen, B., Ran, D., Zhang, J., Zhang, Q., Ma, Y., Liang, G., Li, Y., Wang, Q., & Xie, T. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 140

RSGAN: face swapping and editing using face and hair representation in latent spaces

Natsume, R., Yatagawa, T., & Morishima, S. (2018) · ACM SIGGRAPH 2018 Posters

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 140

Stylometric analysis of bloggers’ age and gender

Goswami, S., Sarkar, S., & Rustagi, M. (2009) · Proceedings of the International AAAI Conference on Web and Social Media

Authorship Attribution and ProfilingMental Health via Writing

Cited by 140

Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation

Stypułkowski, M., Vougioukas, K., He, S., Zięba, M., Petridis, S., & Pantic, M. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 140

Federated Learning Based Proactive Content Caching in Edge Computing

Yu, Z., Hu, J., Min, G., Lu, H., Zhao, Z., Wang, H., & Georgalas, N. (2018) · 2018 IEEE Global Communications Conference (GLOBECOM)

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 140

Real-time face detection based on YOLO

Yang, W., & Jiachun, Z. (2018) · 2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)

Face recognition and analysisAdvanced Neural Network Applications

Cited by 140

Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

Zhang, H., Reddi, S. J., & Sra, S. (2016) · arXiv

Stochastic Gradient Optimization TechniquesAdvanced Optimization Algorithms Research

Cited by 140

PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text

Wang, W., Xie, E., Li, X., Liu, X., Liang, D., Zhibo, Y., Lu, T., & Shen, C. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 140

“I don’t Think These Devices are Very Culturally Sensitive.”—Impact of Automated Speech Recognition Errors on African Americans

Mengesha, Z., Heldreth, C., Lahav, M., Sublewski, J., & Tuennerman, E. (2021) · Frontiers in Artificial Intelligence

Ethics and Social Impacts of AILinguistic Variation and Morphology

Cited by 140

Learning deep similarity metric for 3D MR–TRUS image registration

Haskins, G., Kruecker, J., Kruger, U., Xu, S., Pinto, P. A., Wood, B. J., & Yan, P. (2019) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 140

Use Cases for Design Personas: A Systematic Review and New Frontiers

Salminen, J., Wenyun Guan, K., Jung, S.-G., & Jansen, B. (2022) · CHI Conference on Human Factors in Computing Systems

Persona Design and ApplicationsUsability and User Interface Design

Cited by 140

Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study

Guo, Q., Cao, J., Xie, X., Liu, S., Li, X., Chen, B., & Peng, X. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 140

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

Li, Z., & Gu, Q. (2022) · arXiv

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 140

AI-based conversational agents: A scoping review from technologies to future directions

Kusal, S., Patil, S., Choudrie, J., Kotecha, K., Mishra, S., & Abraham, A. (2022) · IEEE Access

Speech and dialogue systemsAI in Service Interactions

Cited by 140

Diversity in Big Data: A Review

Drosou, M., Jagadish, H. V., Pitoura, E., & Stoyanovich, J. (2017) · Big Data

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 140

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Feng, W., Zhu, W., Fu, T.-J., Jampani, V., Akula, A., He, X., Basu, S., Wang, X. E., & Wang, W. Y. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 140

Seven Months' Worth of Mistakes: A Longitudinal Study of Typosquatting Abuse

Agten, P., Joosen, W., Piessens, F., & Nikiforakis, N. (2015) · Proceedings 2015 Network and Distributed System Security Symposium

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 140

Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection

Beery, S., Wu, G., Rathod, V., Votel, R., & Huang, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 140

Analyzing Uncertainty in Neural Machine Translation

Ott, M., Auli, M., Grangier, D., & Ranzato, M. (2018) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 140

Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

Child, R. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 140

Quantum Principal Component Analysis Only Achieves an Exponential Speedup Because of Its State Preparation Assumptions

Tang, E. (2021) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 140

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Lin, X., Wang, Y., Olkin, J., & Held, D. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 140