Patrick Jähnichen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #11,028 of 35,345 by trust here, #8,706 by citations
• Computer Vision and Pattern Recognition — 21 citations into it; #7,715 of 21,575 by trust here, #6,206 by citations

Whom Patrick Jähnichen trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Geoffrey E. Hinton

Who trusts Patrick Jähnichen overall

1. Gyuhak Kim
2. Ali Ayub
3. Tyler L. Hayes
4. Yiduo Guo

Papers from Patrick Jähnichen's perspective

Ordered by how strongly the researchers Patrick Jähnichen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Et al
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Reading Digits in Natural Images with Unsupervised Feature Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning (2019) — 356 citations