Le An
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it
Whom Le An trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald Boellaard (in Radiology, Nuclear Medicine and Imaging)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Yann LeCun (in Computer Vision and Pattern Recognition)
Who trusts Le An
- Arvid Lundervold (in Radiology, Nuclear Medicine and Imaging)
Papers from Le An's perspective
Ordered by how strongly the researchers Le An trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- 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)
- Backpropagation Applied to Handwritten Zip Code Recognition
- Dropout: a simple way to prevent neural networks from overfitting
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory