Ugur Demiryurek

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Ugur Demiryurek trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Oriol Vinyals
4. Quoc V. Le

Who trusts Ugur Demiryurek overall

1. Zhiyong Cui

Papers from Ugur Demiryurek's perspective

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

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
3. Recurrent Neural Network Regularization
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Practical Recommendations for Gradient-Based Training of Deep Architectures
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017) — 395 citations