Jan Reininghaus

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #19,059 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 5 citations into it

Whom Jan Reininghaus trusts overall

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

1. Christopher K. I. Williams
2. Chih-Jen Lin
3. Peter Bubenik
4. Bernhard Schölkopf
5. Leslie Greengard
6. Zhenhua Guo
7. Philip Shilane
8. Alex Smola
9. Timo Ojala
10. Alex Krizhevsky

Who trusts Jan Reininghaus overall

1. Primoz Skraba
2. Christoph Hofer
3. Nina Otter
4. Katharine Turner
5. Roland Kwitt
6. M. A. Porter

Papers from Jan Reininghaus's perspective

Ordered by how strongly the researchers Jan Reininghaus 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. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A stable multi-scale kernel for topological machine learning (2014) — 392 citations