Jonghun Park

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonghun Park trusts

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

  1. Ilya Sutskever (in Artificial Intelligence)
  2. Geoffrey E. Hinton (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Kyunghyun Cho (in Artificial Intelligence)
  6. Jimmy Ba (in Artificial Intelligence)
  7. Oriol Vinyals (in Artificial Intelligence)
  8. Stanley F. Chen (in Artificial Intelligence)
  9. Dzmitry Bahdanau (in Artificial Intelligence)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Jonghun Park's perspective

Ordered by how strongly the researchers Jonghun Park 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  9. Layer Normalization
  10. Playing Atari with Deep Reinforcement Learning (arXiv.org)

Their papers