Check computer science papers: citations, claims and retractions

An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends

Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 4,515

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Clevert, D.-A., Unterthiner, T., & Hochreiter, S. (2015) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 4,513

Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models

Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., Chi, E., Le, Q. V., & Zhou, D. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingNatural Language Processing Techniques

Cited by 4,505

Learning Transferable Features with Deep Adaptation Networks

Long, M., Cao, Y., Wang, J., & Jordan, M. I. (2015) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 4,505

VQA: Visual Question Answering

Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 4,487

Scheme for reducing decoherence in quantum computer memory

Shor, P. W. (1995) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 4,479

Generative Adversarial Networks

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014) · arXiv

Generative Adversarial Networks and Image SynthesisTopic Modeling

Cited by 4,477

A One-Way Quantum Computer

Raussendorf, R., & Briegel, H. J. (2001) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 4,477

ELIZA—a computer program for the study of natural language communication between man and machine

Weizenbaum, J. (1966) · Communications of the ACM

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 4,452

CNN Features Off-the-Shelf: An Astounding Baseline for Recognition

Razavian, A. S., Azizpour, H., Sullivan, J., & Carlsson, S. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 4,451

Some Studies in Machine Learning Using the Game of Checkers

Samuel, A. L. (1959) · IBM Journal of Research and Development

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 4,443

Simple online and realtime tracking

Bewley, A., Ge, Z., Ott, L., Ramos, F., & Upcroft, B. (2016) · 2016 IEEE International Conference on Image Processing (ICIP)

Video Surveillance and Tracking MethodsTarget Tracking and Data Fusion in Sensor Networks

Cited by 4,433

The generalized correlation method for estimation of time delay

Knapp, C., & Carter, G. (1976) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Direction-of-Arrival Estimation TechniquesSpeech and Audio Processing

Cited by 4,433

Learning Deconvolution Network for Semantic Segmentation

Noh, H., Hong, S., & Han, B. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4,422

The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Shuman, D. I., Narang, S. K., Frossard, P., Ortega, A., & Vandergheynst, P. (2013) · IEEE Signal Processing Magazine

Advanced Graph Neural NetworksMathematical Analysis and Transform Methods

Cited by 4,421

Neural Architectures for Named Entity Recognition

Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., & Dyer, C. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 4,401

Completely Derandomized Self-Adaptation in Evolution Strategies

Hansen, N., & Ostermeier, A. (2001) · Evolutionary Computation

Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Cited by 4,397

ChEMBL: a large-scale bioactivity database for drug discovery

Gaulton, A., Bellis, L. J., Bento, A. P., Chambers, J., Davies, M., Hersey, A., Light, Y., McGlinchey, S., Michalovich, D., Al-Lazikani, B., et al. (2012) · Nucleic Acids Research

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 4,382

The online disinhibition effect

Suler, J. (2004) · CyberPsychology & Behavior

Digital Communication and LanguageImpact of Technology on Adolescents

Cited by 4,375

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

Williams, R. J., & Zipser, D. (1989) · Neural Computation

Neural Networks and ApplicationsNeural Networks and Reservoir Computing

Cited by 4,369

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023) · ACM Computing Surveys

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4,361

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 4,352

Validity of the single processor approach to achieving large scale computing capabilities

Amdahl, G. M. (1967) · Proceedings of the April 18-20, 1967, spring joint computer conference on - AFIPS '67 (Spring)

Parallel Computing and Optimization TechniquesInterconnection Networks and Systems

Cited by 4,339

Flownet: Learning optical flow with convolutional networks

Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Smagt, P. V. D., Cremers, D., & Brox, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 4,313