Joachim Ofner

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 5 citations into it

Whom Joachim Ofner trusts overall

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

1. Honglak Lee
2. Dan Claudiu Ciresan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Y. Ng
6. Yoshua Bengio
7. Yann LeCun
8. Adam Coates
9. Ilya Sutskever
10. Tom Brosch

Who trusts Joachim Ofner overall

1. Le Lu
2. Veronika Cheplygina
3. Mandela Patrick

Papers from Joachim Ofner's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Unsupervised Pre-training Across Image Domains Improves Lung Tissue Classification (2014) — 69 citations