Samir A. Rawashdeh

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 350 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samir A. Rawashdeh trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Shaoqing Ren
  7. Evan Shelhamer
  8. Yann LeCun
  9. Karen Simonyan
  10. Yoshua Bengio

Papers from Samir A. Rawashdeh's perspective

Ordered by how strongly the researchers Samir A. Rawashdeh 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers