Yoonho Boo

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 209 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yoonho Boo trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Graves
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Sergey Zagoruyko
  8. Yann LeCun
  9. Ilya Sutskever
  10. Oriol Vinyals

Who trusts Yoonho Boo overall

  1. Jianping Gou
  2. Baosheng Yu

Papers from Yoonho Boo's perspective

Ordered by how strongly the researchers Yoonho Boo 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers