Ashraf Abdul

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ashraf Abdul trusts overall

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

  1. R. Caruana
  2. Brian Y. Lim
  3. Been Kim
  4. Cynthia Rudin
  5. Anind K. Dey
  6. Tania Lombrozo
  7. Berk Ustun
  8. Geoffrey E. Hinton
  9. I-Cheng Yeh
  10. Zachary Chase Lipton

Who trusts Ashraf Abdul overall

  1. Leilani H. Gilpin
  2. Q. Liao
  3. Giulia Vilone
  4. Xinru Wang
  5. Jessica Morley
  6. Yao Ming
  7. Vivian Lai
  8. Longo Luca
  9. David Bau
  10. Upol Ehsan

Papers from Ashraf Abdul's perspective

Ordered by how strongly the researchers Ashraf Abdul 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers