Uzay Kaymak

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Control and Systems Engineering — 17 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Mechanical Engineering — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Uzay Kaymak trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Paul J. Werbos
4. Xiang Li
5. Yoshua Bengio
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Individualized Treat

Papers from Uzay Kaymak's perspective

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

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

Their papers

• An Automated Framework for Incorporating News into Stock Trading Strategies (2014) — 88 citations
• Learning fuzzy decision trees using integer programming (2018) — 11 citations
• Remaining Useful Lifetime Prediction via Deep Domain Adaptation (2019) — 346 citations