Hee-Soo Heo

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hee-Soo Heo trusts overall

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

  1. Joon Son Chung
  2. David Snyder
  3. Kaiming He
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Sergey Ioffe
  8. Andrew Zisserman
  9. Alex Krizhevsky
  10. Koji Okabe

Who trusts Hee-Soo Heo overall

  1. Edresson Casanova
  2. Julian Weber
  3. Eren Gölge

Papers from Hee-Soo Heo's perspective

Ordered by how strongly the researchers Hee-Soo Heo 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers