Ali Etemad

Experimental and Cognitive Psychology · 2020

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Etemad trusts overall

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

  1. Diederik P. Kingma
  2. Jennifer A. Healey
  3. Margaret M. Bradley
  4. Fei Wu
  5. Stamos Katsigiannis
  6. Kaiming He
  7. X. Wang
  8. Jimmy Ba
  9. Rosalind W. Picard
  10. Aaqib Saeed

Who trusts Ali Etemad overall

  1. Dani Kiyasseh

Papers from Ali Etemad's perspective

Ordered by how strongly the researchers Ali Etemad 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. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers