Andreas Hansen

Artificial Intelligence · with Kreuzer · 2017

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it

Whom Andreas Hansen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ilya Sutskever
5. Alec Radford
6. Nitish Srivastava
7. Jimmy Ba
8. L. Eon Bottou

Who trusts Andreas Hansen overall

1. Yunpeng Pan

Papers from Andreas Hansen's perspective

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

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

Their papers

• Learning a deep neural net policy for end-to-end control of autonomous vehicles (2017) — 120 citations
• Data Collection for Robust End-to-End Lateral Vehicle Control (2017) — 4 citations