Sören Richard Stahlschmidt

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sören Richard Stahlschmidt trusts overall

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

1. Geoffrey E. Hinton
2. Nitish Srivastava
3. Yoshua Bengio
4. Pascal Vincent
5. Ruslan Salakhutdinov
6. Diederik P. Kingma
7. Anika Cheerla
8. Alex Krizhevsky
9. Hugo Larochelle
10. Mukund Sundararajan

Papers from Sören Richard Stahlschmidt's perspective

Ordered by how strongly the researchers Sören Richard Stahlschmidt 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multimodal deep learning for biomedical data fusion: a review (2022) — 631 citations