Stanley Durrleman
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it
- Artificial Intelligence — 23 citations into it
- Radiology, Nuclear Medicine and Imaging — 14 citations into it
- Physiology — 7 citations into it
- Molecular Biology — 6 citations into it
Whom Stanley Durrleman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Stanley Durrleman's perspective
Ordered by how strongly the researchers Stanley Durrleman trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory