Christian Etmann

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Christian Etmann trusts overall

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

1. Yann LeCun
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Jia Deng
6. Yoshua Bengio
7. Christian Szegedy
8. Karen Simonyan
9. Jonas Rauber
10. Ian J. Goodfellow

Papers from Christian Etmann's perspective

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

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

Their papers

• Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans (2020) — 936 citations
• On the Connection Between Adversarial Robustness and Saliency Map Interpretability (2019) — 181 citations