Sebastian Urban

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #24,252 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Optimization & Training — 16 citations into it
• Model Architectures — 15 citations into it
• Signal Processing — 6 citations into it

Whom Sebastian Urban trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ilya Sutskever
5. Razvan Pascanu
6. Radford M. Neal
7. Alex Krizhevsky
8. J. Urgen Schmidhuber
9. Yann LeCun
10. James Martens

Who trusts Sebastian Urban overall

1. Yarin Gal

Papers from Sebastian Urban's perspective

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

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

Their papers

• On Fast Dropout and its Applicability to Recurrent Networks (2013) — 66 citations
• Theano: A Python framework for fast computation of mathematical expressions (2016) — 2,380 citations