Check computer science papers: citations, claims and retractions

Elastix: a toolbox for intensity-based medical image registration

Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 4,311

Elementary gates for quantum computation

Barenco, A., Bennett, C. H., Cleve, R., DiVincenzo, D. P., Margolus, N., Shor, P., Sleator, T., Smolin, J. A., & Weinfurter, H. (1995) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 4,311

On the difficulty of training recurrent neural networks

Pascanu, R., Mikolov, T., & Bengio, Y. (2012) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 4,310

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Lan, Z., Chen, M., Goodman, S., Gimpel, K., Sharma, P., & Soricut, R. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4,308

Quantum Mechanics Helps in Searching for a Needle in a Haystack

Grover, L. K. (1997) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 4,306

NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study

Agustsson, E., & Timofte, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 4,295

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Tarvainen, A., & Valpola, H. (2017) · arXiv

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 4,275

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., & Zhou, D. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4,263

Neural network ensembles

Hansen, L. K., & Salamon, P. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Neural Networks and ApplicationsMachine Learning and Data Classification

Cited by 4,260

Guidelines for snowballing in systematic literature studies and a replication in software engineering

Wohlin, C. (2014) · Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering

Software Engineering Techniques and PracticesMeta-analysis and systematic reviews

Cited by 4,234

Billion-scale similarity search with GPUs

Johnson, J., Douze, M., & Jegou, H. (2021) · IEEE Transactions on Big Data

Advanced Image and Video Retrieval TechniquesParallel Computing and Optimization Techniques

Cited by 4,228

Bayesian calibration of computer models

Kennedy, M. C., & O'Hagan, A. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Gaussian Processes and Bayesian InferenceProbabilistic and Robust Engineering Design

Cited by 4,222

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Wang, A., Singh, A., Michael, J., Hill, F., Levy, O., & Bowman, S. (2018) · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Topic ModelingNatural Language Processing Techniques

Cited by 4,222

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Sze, V., Chen, Y.-H., Yang, T.-J., & Emer, J. S. (2017) · Proceedings of the IEEE

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 4,215

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2014) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 4,213

Training language models to follow instructions with human feedback

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 4,208

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Chen, J., Lu, Y., Yu, Q., Luo, X., Adeli, E., Wang, Y., Lu, L., Yuille, A. L., & Zhou, Y. (2021) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 4,206

Learning without Forgetting

Li, Z., & Hoiem, D. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 4,202

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2015) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4,196

Approximate nearest neighbors: towards removing the curse of dimensionality

Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98

Complexity and Algorithms in GraphsComputational Geometry and Mesh Generation

Cited by 4,188

Dynamic Routing Between Capsules

Sabour, S., Frosst, N., & Hinton, G. E. (2017) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 4,167

StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

Choi, Y., Choi, M., Kim, M., Ha, J.-W., Kim, S., & Choo, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 4,163

Bayesian-Based Iterative Method of Image Restoration*

Richardson, W. H. (1972) · Journal of the Optical Society of America

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 4,160

LOF: identifying density-based local outliers

Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data

Anomaly Detection Techniques and ApplicationsAdvanced Statistical Methods and Models

Cited by 4,149