Hongseok Yang

Artificial Intelligence · 2001–2021

A researcher in the Science corpus: 17 papers; trusts 168 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Hongseok Yang trusts overall

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

  1. Diederik P. Kingma
  2. Vikash K. Mansinghka
  3. Radford M. Neal
  4. Frank D. Wood
  5. Geoffrey E. Hinton
  6. Noah D. Goodman
  7. Danilo Jimenez Rezende
  8. Yoshua Bengio
  9. Christophe Andrieu
  10. Michael I. Jordan

Who trusts Hongseok Yang overall

  1. Jan-Willem van de Meent
  2. David Tolpin
  3. Viktor Vafeiadis
  4. Tom Rainforth
  5. Matthew J. Parkinson
  6. Cristiano Calcagno
  7. Yura N. Perov
  8. Peter W. O'Hearn
  9. Adam Scibior
  10. Marc Brockschmidt

Papers from Hongseok Yang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers