Junghyun Cho

Artificial Intelligence · 2020

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

Subfields

Whom Junghyun Cho trusts overall

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

  1. Jimmy Ba
  2. Diederik P. Kingma

Papers from Junghyun Cho's perspective

Ordered by how strongly the researchers Junghyun Cho 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. Layer Normalization
  3. Understanding the difficulty of training deep feedforward neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Effective Approaches to Attention-based Neural Machine Translation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers