Andrew C. Simpson

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew C. Simpson trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Mariusz Bojarski
  4. Jimmy Ba
  5. Geoffrey E. Hinton

Papers from Andrew C. Simpson's perspective

Ordered by how strongly the researchers Andrew C. Simpson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. GENERATIVE ADVERSARIAL NETS
  5. ImageNet classification with deep convolutional neural networks
  6. Et al
  7. Gradient-based learning applied to document recognition
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers