Ralf C. Staudemeyer

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Model Architectures — 30 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Natural Language Processing — 20 citations into it
• Signal Processing — 17 citations into it
• Optimization & Training — 5 citations into it

Whom Ralf C. Staudemeyer trusts overall

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

1. Alex Graves
2. Oriol Vinyals
3. Sepp Hochreiter
4. Yoshua Bengio
5. Ilya Sutskever
6. J. Urgen Schmidhuber
7. Geoffrey E. Hinton
8. Ronald J. Williams
9. Alex Krizhevsky
10. Bram Bakker

Who trusts Ralf C. Staudemeyer overall

1. Chengyu Wang
2. Jianing Wang

Papers from Ralf C. Staudemeyer's perspective

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

Their papers

• Understanding LSTM - a tutorial into Long Short-Term Memory Recurrent Neural Networks (2019) — 908 citations