Hwidong Na

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hwidong Na trusts overall

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

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

Papers from Hwidong Na's perspective

Ordered by how strongly the researchers Hwidong Na 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. GENERATIVE ADVERSARIAL NETS
  10. Learning Multiple Layers of Features from Tiny Images

Their papers