Yaman Umuroglu

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yaman Umuroglu trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Matthieu Courbariaux
  7. Sergey Ioffe
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Andrew Zisserman

Who trusts Yaman Umuroglu overall

  1. Sparsh Mittal
  2. Ahmad Shawahna
  3. Josh Fromm
  4. Michaela Blott
  5. Tailin Liang
  6. Duy-Thanh Nguyen
  7. Julian Faraone
  8. Chaim Baskin
  9. Hardik Sharma
  10. Nicholas J. Fraser

Papers from Yaman Umuroglu's perspective

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

Their papers