Tae Joon Jun

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 4 papers; trusts 293 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tae Joon Jun trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yann LeCun
  6. Yoshua Bengio
  7. Ian J. Goodfellow
  8. Jimmy Ba
  9. Christian Szegedy
  10. Ilya Sutskever

Papers from Tae Joon Jun's perspective

Ordered by how strongly the researchers Tae Joon Jun 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers