Lukas Ebner

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it
• Artificial Intelligence — 5 citations into it; #35,306 of 35,345 by trust here, #12,974 by citations

Whom Lukas Ebner trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Andrew L. Maas
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Yann LeCun
7. Yoshua Bengio
8. Ilya Sutskever

Who trusts Lukas Ebner overall

1. Adnan Qayyum

Papers from Lukas Ebner's perspective

Ordered by how strongly the researchers Lukas Ebner trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Dropout: a simple way to prevent neural networks from overfitting
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (2016) — 1,170 citations