H. Kusetogullari

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Kusetogullari trusts overall

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

  1. Yann LeCun
  2. Chenglin Liu
  3. Pierre Sermanet
  4. Kumar Chellapilla
  5. Kaiming He
  6. L. Eon Bottou
  7. Corinna Cortes
  8. Geoffrey E. Hinton
  9. Zhangyang Wang
  10. Alex Krizhevsky

Who trusts H. Kusetogullari overall

  1. Hongyi Wang

Papers from H. Kusetogullari's perspective

Ordered by how strongly the researchers H. Kusetogullari 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers