Rasool Fakoor

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 6 papers; trusts 193 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Rasool Fakoor trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Sergey Levine
  4. John Schulman
  5. Ronald J. Williams
  6. Richard S. Sutton
  7. Yoshua Bengio
  8. Volodymyr Mnih
  9. Alex Krizhevsky
  10. David Silver

Who trusts Rasool Fakoor overall

  1. Sae-Young Chung
  2. Pratik Chaudhari
  3. Ron Dorfman
  4. Zena M. Hira
  5. Alex Smola
  6. Ashvin Nair
  7. Rahul Kidambi
  8. Jonas W. Mueller
  9. Devinder Kumar
  10. Zichuan Lin

Papers from Rasool Fakoor's perspective

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

Their papers