Check computer science papers: citations, claims and retractions

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

Nowozin, S., Cseke, B., & Tomioka, R. (2016) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 1,183

Eyeriss: a spatial architecture for energy-efficient dataflow for convolutional neural networks

Chen, Y.-H., Emer, J., & Sze, V. (2016) · ACM SIGARCH Computer Architecture News

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1,182

A new standardized method for objectively measuring video quality

Pinson, M. H., & Wolf, S. (2004) · IEEE Transactions on Broadcasting

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 1,182

A Deep Reinforced Model for Abstractive Summarization

Paulus, R., Xiong, C., & Socher, R. (2017) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,182

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Tang, D., Wei, F., Yang, N., Zhou, M., Liu, T., & Qin, B. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 1,181

Programs, life cycles, and laws of software evolution

Lehman, M. M. (1980) · Proceedings of the IEEE

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 1,181

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Huang, Y., Cheng, Y., Bapna, A., Firat, O., Chen, M. X., Chen, D., Lee, H., Ngiam, J., Le, Q. V., Wu, Y., et al. (2018) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 1,180

Mixed Precision Training

Micikevicius, P., Narang, S., Alben, J., Diamos, G., Elsen, E., Garcia, D., Ginsburg, B., Houston, M., Kuchaiev, O., Venkatesh, G., et al. (2017) · arXiv

Numerical Methods and AlgorithmsAdvanced Neural Network Applications

Cited by 1,179

Plug-and-Play priors for model based reconstruction

Venkatakrishnan, S. V., Bouman, C. A., & Wohlberg, B. (2013) · 2013 IEEE Global Conference on Signal and Information Processing

Image and Signal Denoising MethodsNumerical methods in inverse problems

Cited by 1,178

Malware traffic classification using convolutional neural network for representation learning

Wang, W., Zhu, M., Zeng, X., Ye, X., & Sheng, Y. (2017) · 2017 International Conference on Information Networking (ICOIN)

Internet Traffic Analysis and Secure E-votingAdvanced Malware Detection Techniques

Cited by 1,177

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Zhang, S., Dinan, E., Urbanek, J., Szlam, A., Kiela, D., & Weston, J. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsAI in Service Interactions

Cited by 1,177

A survey of modern authorship attribution methods

Stamatatos, E. (2009) · Journal of the American Society for Information Science and Technology

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 1,176

"Like Having a Really Bad PA": The Gulf between User Expectation and Experience of Conversational Agents

Luger, E., & Sellen, A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsAI in Service Interactions

Cited by 1,176

3DSSD: Point-Based 3D Single Stage Object Detector

Yang, Z., Sun, Y., Liu, S., & Jia, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network Applications3D Shape Modeling and Analysis

Cited by 1,176

Characterizing quantum supremacy in near-term devices

Boixo, S., Isakov, S. V., Smelyanskiy, V. N., Babbush, R., Ding, N., Jiang, Z., Bremner, M. J., Martinis, J. M., & Neven, H. (2018) · Nature Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,175

Zero Trust Architecture

Rose, S., Borchert, O., Mitchell, S., & Connelly, S. (2020)

Access Control and TrustInformation and Cyber Security

Cited by 1,174

The Cityscapes Dataset for Semantic Urban Scene Understanding

Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., & Schiele, B. (2016) · arXiv

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 1,174

The keystroke-level model for user performance time with interactive systems

Card, S. K., Moran, T. P., & Newell, A. (1980) · Communications of the ACM

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 1,174

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

Liu, Y., Han, T., Ma, S., Zhang, J., Yang, Y., Tian, J., He, H., Li, A., He, M., Liu, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,172

A 3D Facial Expression Database For Facial Behavior Research

Yin, L., Wei, X., Sun, Y., Wang, J., & Rosato, M. J. (2006) · 7th International Conference on Automatic Face and Gesture Recognition (FGR06)

Face recognition and analysisEmotion and Mood Recognition

Cited by 1,171

Efficient algorithms for mining outliers from large data sets

Ramaswamy, S., Rastogi, R., & Shim, K. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data

Anomaly Detection Techniques and ApplicationsData Management and Algorithms

Cited by 1,171

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

Chen, J. H., & Asch, S. M. (2017) · New England Journal of Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 1,171

Efficient Low-rank Multimodal Fusion With Modality-Specific Factors

Liu, Z., Shen, Y., Lakshminarasimhan, V. B., Liang, P. P., Bagher Zadeh, A., & Morency, L.-P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 1,170

Toward Causal Representation Learning

Scholkopf, B., Locatello, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., & Bengio, Y. (2021) · Proceedings of the IEEE

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

Cited by 1,170