Kyle Min

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Min trusts overall

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

  1. Jia Deng
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. George A. Miller
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Kyle Min overall

  1. Kibok Lee
  2. Kimin Lee

Papers from Kyle Min's perspective

Ordered by how strongly the researchers Kyle Min 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. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers