Longhyuk 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 Longhyuk Park trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kyunghyun Cho
  6. Yoshua Bengio
  7. Oriol Vinyals

Papers from Longhyuk Park's perspective

Ordered by how strongly the researchers Longhyuk 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. Gradient-based learning applied to document recognition

Their papers