Ohsung Kwon

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ohsung Kwon trusts overall

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

  1. Diederik P. Kingma
  2. Eunwoo Song
  3. Xavier Glorot
  4. Yoshua Bengio
  5. Tim Salimans
  6. Geoffrey E. Hinton
  7. Jimmy Ba

Papers from Ohsung Kwon's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Understanding the difficulty of training deep feedforward neural networks
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. GENERATIVE ADVERSARIAL NETS

Their papers