Ayse Erkan

Computer Vision and Pattern Recognition · 2008–2010

A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ayse Erkan trusts overall

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

  1. Olivier Chapelle
  2. John D. Lafferty
  3. Yoshua Bengio
  4. Yann LeCun
  5. Xiaojin Zhu
  6. R. Rosenfeld
  7. Lawrence R. Rabiner
  8. Yuhai Wu
  9. Matthias W. Seeger
  10. Geoffrey E. Hinton

Who trusts Ayse Erkan overall

  1. Farzan Farnia
  2. Yoshua Bengio
  3. Kuniaki Saito
  4. David Tse
  5. Trevor Darrell
  6. Stan Sclaroff
  7. Lei Tai
  8. Yann LeCun
  9. Kate Saenko
  10. Jaeyong Sung

Papers from Ayse Erkan's perspective

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

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

Their papers