Mohammad H. Amin

Artificial Intelligence · 2010–2022

A researcher in the Science corpus: 6 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad H. Amin trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Simon Osindero
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ruslan Salakhutdinov
  8. Yann LeCun
  9. Seth Lloyd
  10. Ilya Sutskever

Who trusts Mohammad H. Amin overall

  1. Dong-Ling Deng
  2. Carlos Ortiz Marrero
  3. Tameem Albash
  4. Wenqiang Zhang
  5. Xiaopeng Li
  6. Nathan Killoran
  7. Göran Wendin
  8. Andrew Lucas
  9. Mária Kieferová
  10. Daniel A. Lidar

Papers from Mohammad H. Amin's perspective

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

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

Their papers