Ottokar Tilk

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #22,982 of 35,345 by trust here, #34,213 by citations

Whom Ottokar Tilk trusts overall

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

1. Kyunghyun Cho
2. Yoshua Bengio
3. Xavier Glorot
4. Dzmitry Bahdanau
5. Mike Schuster
6. John C. Duchi
7. Tian Wang
8. Geoffrey E. Hinton
9. Sepp Hochreiter
10. Razvan Pascanu

Who trusts Ottokar Tilk overall

1. Hazel Doughty
2. Antoine Yang
3. Ivan Laptev
4. Antoine Miech
5. Walterio W. Mayol-Cuevas

Papers from Ottokar Tilk's perspective

Ordered by how strongly the researchers Ottokar Tilk 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Bidirectional Recurrent Neural Network with Attention Mechanism for Punctuation Restoration (2016) — 197 citations