Mohammadamin Barekatain

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammadamin Barekatain trusts overall

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

  1. Radford M. Neal
  2. Christopher K. I. Williams
  3. Leo Breiman
  4. J. Urgen Schmidhuber
  5. Yann LeCun
  6. Ronald J. Williams
  7. Geoffrey E. Hinton
  8. Kunihiko Fukushima
  9. Yoshua Bengio
  10. Andrew McCallum

Who trusts Mohammadamin Barekatain overall

  1. Swarat Chaudhuri

Papers from Mohammadamin Barekatain's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers