Min-Oh Heo

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 94 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Min-Oh Heo trusts overall

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

  1. Jason Aaron Edward Weston
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ruslan Salakhutdinov
  5. Ryan Kiros
  6. Kaiming He
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Min-Oh Heo overall

  1. Jie Lei
  2. Junyeong Kim
  3. Thao Minh Le
  4. Kushal Kafle
  5. Licheng Yu
  6. Devshree Patel
  7. Yunseok Jang
  8. Seonhoon Kim

Papers from Min-Oh Heo's perspective

Ordered by how strongly the researchers Min-Oh Heo 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers