Ian Walker

Artificial Intelligence · with Castro · 2019

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

Subfields

Whom Ian Walker trusts overall

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

  1. Judea Pearl
  2. Bernhard Schölkopf
  3. Donald B. Rubin
  4. Timnit Gebru
  5. Kun Zhang

Papers from Ian Walker's perspective

Ordered by how strongly the researchers Ian Walker 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. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers