Johannes Haug

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 95 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Model Architectures — 13 citations into it
• Optimization & Training — 10 citations into it

Whom Johannes Haug trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Jerome H. Friedman
4. Yoshua Bengio
5. Diederik P. Kingma
6. Kaiming He
7. Yann LeCun
8. Ilya Sutskever

Papers from Johannes Haug's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Neural Networks and Tabular Data: A Survey (2021) — 1,211 citations