Kerstin Ritter

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 Kerstin Ritter 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

Papers from Kerstin Ritter's perspective

Ordered by how strongly the researchers Kerstin Ritter 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. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
10. ImageNet: A large-scale hierarchical image database

Their papers

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