Rahim Entezari

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rahim Entezari trusts overall

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

  1. Behnam Neyshabur
  2. Kaiming He
  3. Jonathan Frankle
  4. Geoffrey E. Hinton
  5. Kevin Scaman
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Rahim Entezari overall

  1. Samuel K. Ainsworth
  2. Gabriel Ilharco
  3. Margaret Li
  4. Johannes von Oswald
  5. Suchin Gururangan
  6. Jonathan Hayase

Papers from Rahim Entezari's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers