Fabian Eitel

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Fabian Eitel trusts overall

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

1. David Alvarez-Melis
2. Avanti Shrikumar
3. Mukund Sundararajan
4. Jost Tobias Springenberg
5. Julius Adebayo
6. Tommi S. Jaakkola
7. Karen Simonyan
8. Alexey Dosovitskiy
9. Geoffrey E. Hinton
10. Peyton Greenside

Who trusts Fabian Eitel overall

1. Erico Tjoa
2. Amitojdeep Singh

Papers from Fabian Eitel's perspective

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

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

Their papers

• Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification (2019) — 85 citations