Minki Kang

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minki Kang trusts overall

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

  1. B.D.O. Anderson
  2. Jaehyeon Kim
  3. Jungil Kong
  4. Diederik P. Kingma
  5. Junichi Yamagishi
  6. Ashish Vaswani
  7. Heeseung Kim
  8. Sungwon Kim
  9. Geoffrey E. Hinton
  10. Mingjian Chen

Who trusts Minki Kang overall

  1. Ziyue Jiang
  2. Chengyi Wang

Papers from Minki Kang's perspective

Ordered by how strongly the researchers Minki Kang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. GENERATIVE ADVERSARIAL NETS
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers