Anja Hauth

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 7 citations into it

Whom Anja Hauth trusts overall

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

1. Diederik P. Kingma
2. Barret Zoph
3. Ning Qian
4. Quoc V. Le
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Frank Hutter
8. Jimmy Ba
9. Yoshua Bengio
10. Kaiming He

Who trusts Anja Hauth overall

1. Martin Wistuba

Papers from Anja Hauth's perspective

Ordered by how strongly the researchers Anja Hauth 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Fast Task-Aware Architecture Inference (2019) — 18 citations