Hye-jin Shim

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hye-jin Shim trusts overall

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

  1. Yoshua Bengio
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Yann LeCun
  8. Mirco Ravanelli
  9. Sepp Hochreiter
  10. Andrew Zisserman

Who trusts Hye-jin Shim overall

  1. Hemlata Tak

Papers from Hye-jin Shim's perspective

Ordered by how strongly the researchers Hye-jin Shim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers