Generative adversarial networks2020· article· en· Communications of the ACM· Computer Scienceaff13,622citations
Rectified Linear Units Improve Restricted Boltzmann Machines2010· article· en· International Conference on Machine Learning· Computer Scienceaff13,244citations
Representation Learning: A Review and New Perspectives2013· review· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Scienceaff13,002citations
Understanding the difficulty of training deep feedforward neural networks2010· article· en· Computer Scienceaff12,692citations
Speech recognition with deep recurrent neural networks2013· article· en· Computer Scienceaff8,837citations
Extracting and composing robust features with denoising autoencoders2008· article· en· Computer Scienceaff7,343citations
Learning Deep Architectures for AI2009· article· en· Foundations and Trends® in Machine Learning· Computer Scienceaffno abstract6,910citations
Accurate prediction of protein structures and interactions using a three-track neural network2021· article· en· Science· Biochemistry, Genetics and Molecular Biologyafffund5,701citations
Probabilistic Matrix Factorization2007· article· en· Neural Information Processing Systems· Computer Scienceaff3,578citations
On the importance of initialization and momentum in deep learning2013· article· en· Computer Scienceaff3,536citations
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer2017· article· en· JAMA· Computer Scienceaff3,297citations
Siamese Neural Networks for One-shot Image Recognition2015· article· en· Computer Scienceaff3,254citations
Brain tumor segmentation with Deep Neural Networks2016· article· en· Medical Image Analysis· Neuroscienceaffno abstract3,245citations
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning2015· article· en· Nature Biotechnology· Biochemistry, Genetics and Molecular Biologyafffundno abstract3,163citations
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks2017· article· en· Computer-Aided Civil and Infrastructure Engineering· Engineeringafffundno abstract3,134citations
Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition2011· article· en· IEEE Transactions on Audio Speech and Language Processing· Computer Scienceafffund3,077citations
Deep Learning for Generic Object Detection: A Survey2019· article· en· International Journal of Computer Vision· Computer Scienceaff2,776citations
A review of uncertainty quantification in deep learning: Techniques, applications and challenges2021· review· en· Information Fusion· Computer Scienceafffund2,453citations
Optimization as a Model for Few-Shot Learning2017· article· en· International Conference on Learning Representations· Computer Scienceaff2,447citations
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?2018· article· en· IEEE Transactions on Medical Imaging· Medicineaff2,256citations
SchNet – A deep learning architecture for molecules and materials2018· article· en· The Journal of Chemical Physics· Materials Sciencefundno aff2,194citations
Why Does Unsupervised Pre-training Help Deep Learning?2010· article· en· Computer Scienceaff2,115citations
Restricted Boltzmann machines for collaborative filtering2007· article· en· Computer Scienceaff1,882citations