Ali Ahmed

Computer Vision and Pattern Recognition · 2012–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Ahmed trusts overall

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

  1. E.J. Candes
  2. B. Recht
  3. David Gross
  4. Joel A. Tropp
  5. S. Burer
  6. Terence Tao
  7. Subhasis Chaudhuri
  8. Renato D. C. Monteiro
  9. Diederik P. Kingma
  10. Nathan Halko

Who trusts Ali Ahmed overall

  1. Yuejie Chi
  2. Paul Hand
  3. E.J. Candes
  4. Cong Ma
  5. Vladislav Voroninski
  6. Hyungjin Chung
  7. Xiaodong Li
  8. Yuxin Chen
  9. Yue M. Lu
  10. Kaizheng Wang

Papers from Ali Ahmed's perspective

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

Their papers