Thomas Theelen
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Thomas Theelen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Thomas Theelen's perspective
Ordered by how strongly the researchers Thomas Theelen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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
- Fully convolutional networks for semantic segmentation
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)