Mahmut Yurt

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mahmut Yurt trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Mark Jenkinson
  4. Geoffrey E. Hinton
  5. Mehdi Mirza
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yoshua Bengio
  9. Ian J. Goodfellow
  10. Yann LeCun

Who trusts Mahmut Yurt overall

  1. Xin Yi
  2. Onat Dalmaz

Papers from Mahmut Yurt's perspective

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

Their papers