Alastair Moore

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 2 papers; trusts 45 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Alastair Moore trusts overall

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

  1. Jitendra Malik
  2. David R. Martin
  3. Greg Mori
  4. Pedro F. Felzenszwalb
  5. Jianbo Shi
  6. Piotr Doll'ar
  7. Xiaofeng Ren
  8. Dorin Comaniciu
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Alastair Moore overall

  1. Radhakrishna Achanta
  2. Zhengqin Li
  3. David Stutz
  4. Olga Veksler
  5. Brian Fulkerson
  6. Ming-Yu Liu
  7. Jeremie Papon
  8. Michel van den Bergh
  9. Sewon Min
  10. Jiansheng Chen

Papers from Alastair Moore's perspective

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

Their papers