Check computer science papers: citations, claims and retractions

Representation Learning: A Review and New Perspectives

Bengio, Y., Courville, A., & Vincent, P. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Neural Networks and ApplicationsFace and Expression Recognition

Cited by 13,001

Consensus Problems in Networks of Agents With Switching Topology and Time-Delays

Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control

Distributed Control Multi-Agent SystemsNeural Networks Stability and Synchronization

Cited by 12,788

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reimers, N., & Gurevych, I. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 12,778

A Formal Basis for the Heuristic Determination of Minimum Cost Paths

Hart, P., Nilsson, N., & Raphael, B. (1968) · IEEE Transactions on Systems Science and Cybernetics

Complexity and Algorithms in GraphsAI-based Problem Solving and Planning

Cited by 12,738

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 12,696

LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Thompson, A. P., Aktulga, H. M., Berger, R., Bolintineanu, D. S., Brown, W. M., Crozier, P. S., in 't Veld, P. J., Kohlmeyer, A., Moore, S. G., Nguyen, T. D., et al. (2022) · Computer Physics Communications

Parallel Computing and Optimization TechniquesAdvanced Physical and Chemical Molecular Interactions

Cited by 12,598

Decoupled Weight Decay Regularization

Loshchilov, I., & Hutter, F. (2017) · arXiv

Stochastic Gradient Optimization TechniquesDomain Adaptation and Few-Shot Learning

Cited by 12,522

Aggregated Residual Transformations for Deep Neural Networks

Xie, S., Girshick, R., Dollar, P., Tu, Z., & He, K. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 12,465

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) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 12,433

Neural Networks for Pattern Recognition

Bishop, C. M. (1995)

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 12,287

Introduction to information retrieval

Manning, C. D., Raghavan, P., & Schütze, H. (2009) · Choice Reviews Online

Information Retrieval and Search BehaviorAlgorithms and Data Compression

Cited by 12,278

Unsupervised representation learning with deep convolutional generative adversarial networks

Radford, A., Metz, L., & Chintala, S. (2015) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 12,235

Squeeze-and-Excitation Networks

Hu, J., Shen, L., Albanie, S., Sun, G., & Wu, E. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 12,157

Graph Attention Networks

Veličković, P., Cucurull, G., Casanova, A., Romero, A., Liò, P., & Bengio, Y. (2017) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 12,107

A training algorithm for optimal margin classifiers

Boser, B. E., Guyon, I. M., & Vapnik, V. N. (1992) · Proceedings of the fifth annual workshop on Computational learning theory

Machine Learning and AlgorithmsNeural Networks and Applications

Cited by 11,992

Deep Contextualized Word Representations

Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 11,983

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 11,971

Segment Anything

Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 11,953

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Milletari, F., Navab, N., & Ahmadi, S.-A. (2016) · 2016 Fourth International Conference on 3D Vision (3DV)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 11,931

Fully convolutional networks for semantic segmentation

Shelhamer, E., Long, J., & Darrell, T. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 11,898

Backpropagation Applied to Handwritten Zip Code Recognition

LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989) · Neural Computation

Handwritten Text Recognition TechniquesNeural Networks and Applications

Cited by 11,891

The chemical basis of morphogenesis

Turing, A. M. (1952) · Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences

Nonlinear Dynamics and Pattern FormationDevelopmental Biology and Gene Regulation

Cited by 11,733

A Style-Based Generator Architecture for Generative Adversarial Networks

Karras, T., Laine, S., & Aila, T. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 11,714

Gaussian Processes for Machine Learning

Rasmussen, C. E., & Williams, C. K. I. (2005) · The MIT Press eBooks

Gaussian Processes and Bayesian InferenceMachine Learning and Algorithms

Cited by 11,705