Mehmet Süzen

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 Mehmet Süzen trusts overall

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

1. Barret Zoph
2. Quoc V. Le

Papers from Mehmet Süzen's perspective

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

Their papers

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