K. Kavaklioğlu

2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom K. Kavaklioğlu trusts overall

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

1. Vladimir Naumovich Vapnik
2. Vladimir Naumovich Vapni
3. C. Burges
4. Richard P. Lippmann
5. Coskun Hamzaçebi
6. M. Toksari

Who trusts K. Kavaklioğlu overall

1. Dao H. Vu
2. M. Günay
3. Pınar Tüfekci
4. S. Zaidi

Papers from K. Kavaklioğlu's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. A training algorithm for optimal margin classifiers
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Statistical learning theory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Distilling the Knowledge in a Neural Network (arXiv.org)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression (2011) — 305 citations