Hyunsin Park

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyunsin Park trusts overall

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

  1. Karol J. Piczak
  2. Diederik P. Kingma
  3. Brian McFee
  4. Justin Salamon
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Nitish Srivastava
  8. Juan Pablo Bello
  9. Ilya Sutskever
  10. Jimmy Ba

Who trusts Hyunsin Park overall

  1. Eduardo Fonseca
  2. Xavier Favory

Papers from Hyunsin Park's perspective

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

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

Their papers