Erinc Merdivan

Computer Vision and Pattern Recognition · 2017

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 Erinc Merdivan trusts overall

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

  1. Honglak Lee
  2. Diederik P. Kingma
  3. Ling Bao
  4. Stephen S. Intille
  5. Jimmy Ba
  6. Emmanuel Munguia Tapia

Papers from Erinc Merdivan's perspective

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

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

Their papers