Ilker Yildirim

Computer Vision and Pattern Recognition · with Tenenbaum · 2014–2017

A researcher in the Science corpus: 7 papers; trusts 255 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Ilker Yildirim trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Volker Blanz
  4. Jia Deng
  5. Ilya Sutskever
  6. Peter S. Dayan
  7. Yann LeCun
  8. Radford M. Neal
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Ilker Yildirim overall

  1. Abhijit Kundu
  2. Brandon RichardWebster
  3. Joel Z. Leibo
  4. Jiajun Wu
  5. Josh Tenenbaum
  6. Yin Li
  7. Jessica B. Hamrick
  8. Samuel E. Anthony
  9. Peter W. Battaglia
  10. Qianli Liao

Papers from Ilker Yildirim's perspective

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

Their papers