Matthias Zöhrer

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Generative Models — 5 citations into it

Whom Matthias Zöhrer trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Hugo Larochelle
5. Ruslan Salakhutdinov
6. Alex Krizhevsky
7. Ilya Sutskever
8. Dong Yu
9. Pascal Vincent
10. Diederik P. Kingma

Who trusts Matthias Zöhrer overall

1. Guillaume Alain
2. Yoshua Bengio

Papers from Matthias Zöhrer's perspective

Ordered by how strongly the researchers Matthias Zöhrer 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• General Stochastic Networks for Classification (2014) — 22 citations