Esin Guldogan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Statistics and Probability — 9 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Esin Guldogan trusts overall

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

1. Barret Zoph
2. Quoc V. Le
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. David Ruppert
6. Eric J. Topol
7. Yoshua Bengio
8. Kaiming He
9. B. Recht
10. Diederik P. Kingma

Papers from Esin Guldogan's perspective

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

Their papers

• HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019) — 38 citations