Hossein Yalame

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hossein Yalame trusts overall

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

  1. Oded Goldreich
  2. Thomas Schneider
  3. Donald Beaver
  4. Yan Huang
  5. Payman Mohassel
  6. Vladimir Kolesnikov
  7. Benny Pinkas
  8. Alex Krizhevsky
  9. Marcel Keller
  10. Ahmad-Reza Sadeghi

Papers from Hossein Yalame's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Fair exchange with a semi-trusted third party (extended abstract)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers