Louise Heinrich

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Representation & Self-Supervised Learning — 27 citations into it

Whom Louise Heinrich trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Yoshua Bengio
5. Yann LeCun
6. Kaiming He
7. Diederik P. Kingma
8. Ilya Sutskever
9. Kate Saenko
10. Andrew Zisserman

Who trusts Louise Heinrich overall

1. Toshihiko Matsuura

Papers from Louise Heinrich's perspective

Ordered by how strongly the researchers Louise Heinrich 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multi-Domain Adversarial Learning (2019) — 65 citations