Suleyman Serdar Kozat

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Signal Processing — 6 citations into it
• Model Architectures — 5 citations into it

Whom Suleyman Serdar Kozat trusts overall

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

1. Chih-Jen Lin
2. Amir Beck
3. Andrew P. Bradley
4. P. S. Ramirez
5. Sepp Hochreiter
6. Junshui Ma
7. Zaiwen Wen
8. Luis M. Ibarra Candanedo
9. Yoshua Bengio
10. Bernhard Schölkopf

Papers from Suleyman Serdar Kozat's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Unsupervised Anomaly Detection With LSTM Neural Networks (2017) — 311 citations