Hyeongseung Lee

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.

Whom Hyeongseung Lee trusts overall

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

  1. Diederik P. Kingma
  2. Michael F. Hutchinson
  3. Wei Ping
  4. Sergey Ioffe
  5. Daniel W. Griffin
  6. Laurent Dinh
  7. Geoffrey E. Hinton
  8. Christian Szegedy
  9. Ryan J. Prenger
  10. Yoshua Bengio

Papers from Hyeongseung Lee's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. WaveNet: A Generative Model for Raw Audio
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers