Adam Richardson

Computer Vision and Pattern Recognition · with Allen · 2016

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adam Richardson trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Xavier Glorot
  7. Alex Krizhevsky
  8. Zhirong Wu
  9. Individualized Treat
  10. Jimmy Ba

Papers from Adam Richardson's perspective

Ordered by how strongly the researchers Adam Richardson 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. GENERATIVE ADVERSARIAL NETS
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers