Cenk Baykal

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 120 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Cenk Baykal trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Kaiming He
  6. Karen Simonyan
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Andrew Zisserman

Who trusts Cenk Baykal overall

  1. Dan Feldman
  2. Ben Mussay
  3. Yang He
  4. Lucas Liebenwein
  5. Lingao Xiao
  6. Margarita Osadchy
  7. Samson Zhou
  8. Vladimir Braverman
  9. Marwa El Halabi
  10. Mao Ye

Papers from Cenk Baykal's perspective

Ordered by how strongly the researchers Cenk Baykal 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers