Leif Hancox-Li

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leif Hancox-Li trusts overall

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

  1. Mukund Sundararajan
  2. Scott M. Lundberg
  3. Leo Breiman
  4. Ankur Taly
  5. Isabelle M Guyon
  6. Zachary Chase Lipton
  7. Giles Hooker
  8. Finale Doshi-Velez
  9. Phoebe Sengers
  10. Martin J. Osborne

Papers from Leif Hancox-Li's perspective

Ordered by how strongly the researchers Leif Hancox-Li 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. ImageNet Large Scale Visual Recognition Challenge
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers