Oliver Durr

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Signal Processing — 7 citations into it

Whom Oliver Durr trusts overall

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

1. Yann LeCun
2. Douglas A. Reynolds
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Sander Dieleman
7. Vinod Nair
8. Ilya Sutskever
9. Honglak Lee
10. L. Eon Bottou

Papers from Oliver Durr's perspective

Ordered by how strongly the researchers Oliver Durr 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. Long Short-Term Memory
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Speaker identification and clustering using convolutional neural networks (2016) — 140 citations