Bill Lin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bill Lin trusts overall

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

  1. Cynthia Dwork

Papers from Bill Lin's perspective

Ordered by how strongly the researchers Bill Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Neural Architecture Search with Reinforcement Learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. DARTS: Differentiable Architecture Search
  8. Efficient Neural Architecture Search via Parameter Sharing
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers