Kai Heinrich

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Kai Heinrich trusts overall

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

1. David G. Lowe
2. J. Urgen Schmidhuber
3. Cynthia Rudin
4. Navneet Dalal
5. Gerard A. Salton
6. Salvador Garcia
7. Gerhard Widmer
8. Amina Adadi

Papers from Kai Heinrich's perspective

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

1. Histograms of oriented gradients for human detection
2. Distinctive Image Features from Scale-Invariant Keypoints
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Deep Learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Machine learning and deep learning (2021) — 1,800 citations