Thilo Stadelmann

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 47 citations into it
• Signal Processing — 22 citations into it
• Model Architectures — 9 citations into it

Whom Thilo Stadelmann trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Yoshua Bengio
5. Kaiming He
6. Karen Simonyan
7. Ilya Sutskever
8. Diederik P. Kingma
9. Andrew Zisserman
10. Shaoqing Ren

Who trusts Thilo Stadelmann overall

1. Lukas Tuggener
2. Quanming Yao

Papers from Thilo Stadelmann's perspective

Ordered by how strongly the researchers Thilo Stadelmann 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Speaker identification and clustering using convolutional neural networks (2016) — 140 citations
• Automated Machine Learning in Practice: State of the Art and Recent Results (2019) — 76 citations
• Deep Learning in the Wild (2018) — 45 citations