Deniz Oktay

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deniz Oktay trusts overall

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

  1. Karen Simonyan
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Jimmy Ba
  10. Johannes Ballé

Papers from Deniz Oktay's perspective

Ordered by how strongly the researchers Deniz Oktay 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers