Anna Kruspe

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 128 citations into it
• Probabilistic & Bayesian Methods — 50 citations into it
• Statistics and Probability — 12 citations into it

Whom Anna Kruspe trusts overall

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

1. Radford M. Neal
2. Geoffrey E. Hinton
3. David John Cameron MacKay
4. Yann LeCun
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Yoshua Bengio
8. Yarin Gal

Papers from Anna Kruspe's perspective

Ordered by how strongly the researchers Anna Kruspe 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A survey of uncertainty in deep neural networks (2021) — 1,852 citations