Darvin Yi

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Darvin Yi trusts overall

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

  1. Andrea Vedaldi
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Jia Deng
  9. Yann LeCun
  10. Diederik P. Kingma

Who trusts Darvin Yi overall

  1. Heang-Ping Chan

Papers from Darvin Yi's perspective

Ordered by how strongly the researchers Darvin Yi 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 Large Scale Visual Recognition Challenge
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers