Ki Hyun Tae

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ki Hyun Tae trusts overall

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

  1. Pang Wei Koh
  2. Percy Liang
  3. Andrea Paudice
  4. Neoklis Polyzotis
  5. Jacob Steinhardt
  6. Luis Muñoz-González
  7. Sudip Roy

Papers from Ki Hyun Tae's perspective

Ordered by how strongly the researchers Ki Hyun Tae 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers