Felix Berkhahn

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #22,462 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Natural Language Processing — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Felix Berkhahn trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Tomas Mikolov
5. Ilya Sutskever
6. Alex Krizhevsky
7. Joseph B. Kruskal
8. Yann LeCun
9. Jimmy Ba
10. L. V. D. van der Maaten

Who trusts Felix Berkhahn overall

1. Håvard Kvamme
2. Yihong Chen
3. Johannes Jurgovsky

Papers from Felix Berkhahn's perspective

Ordered by how strongly the researchers Felix Berkhahn 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• Entity Embeddings of Categorical Variables (2016) — 457 citations