ComputingComputer ScienceMathematicsArtificial IntelligenceMachine LearningDeep LearningInverse ProblemsNeural NetworksOptimization For Machine LearningPartial Differential EquationsRepresentation LearningComputational Inverse ProblemsInverse Problem SolvingInverse Problem TheoryInverse Problems In Partial Differential EquationsMachine Learning-based InversionOptimization-based InversionRegularization Techniques
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2015 · 18.8K citations
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa et al. · arXiv (Cornell University) · 2019 · 16.2K citations · Full text
Auto-Encoding Variational Bayes
Diederik P. Kingma, Max Welling · UvA-DARE (University of Amsterdam) · 2013 · 15.6K citations · Full text