Stephan Baier

Model Architectures · 2008–2016

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Natural Language Processing — 6 citations into it

Whom Stephan Baier trusts overall

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

1. M. Young
2. Yoshua Bengio
3. Ilya Sutskever
4. Franz Lemmermeyer
5. Geoffrey E. Hinton
6. Alex Graves
7. Kyunghyun Cho
8. J. Urgen Schmidhuber
9. Tomas Mikolov
10. Xavier Glorot

Papers from Stephan Baier's perspective

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

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

Their papers

• Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks (2016) — 171 citations
• Mean values with cubic characters (2008) — 66 citations