Çağatay Yıldız

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Çağatay Yıldız trusts overall

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

  1. Radford M. Neal
  2. Yurii E. Nesterov
  3. Jorge Nocedal
  4. Max Welling
  5. Alekh Agarwal
  6. Shen-Yi Zhao
  7. N. Schraudolph
  8. Geoffrey E. Hinton
  9. Yann LeCun
  10. Sixin Zhang

Who trusts Çağatay Yıldız overall

  1. Kumar Kshitij Patel

Papers from Çağatay Yıldız's perspective

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

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

Their papers