Amir Rahmati

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 9 papers; trusts 46 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Amir Rahmati trusts overall

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

  1. Ian J. Goodfellow
  2. Alex Krizhevsky
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Blase Ur
  6. Nicolas Papernot
  7. Yann LeCun
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Nicholas Carlini

Who trusts Amir Rahmati overall

  1. Stepan Alekseevich Komkov

Papers from Amir Rahmati's perspective

Ordered by how strongly the researchers Amir Rahmati 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers