Youngnam Lee

Artificial Intelligence · with Bae · 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 Youngnam Lee trusts overall

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

  1. Jimmy Ba
  2. Diederik P. Kingma
  3. Xavier Glorot
  4. Yoshua Bengio
  5. Shalini Pandey
  6. Geoffrey E. Hinton

Papers from Youngnam Lee's perspective

Ordered by how strongly the researchers Youngnam Lee 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. ImageNet classification with deep convolutional neural networks
  4. Layer Normalization
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Understanding the difficulty of training deep feedforward neural networks
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers