Jae-Young Pyun

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jae-Young Pyun trusts overall

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

  1. Alex Graves
  2. Mi Zhang
  3. Yuqing Chen
  4. Wenchao Jiang
  5. Geoffrey E. Hinton
  6. Vu Tuan Dat Pham
  7. Yuchen Fan
  8. A. Waibel
  9. Davide Anguita
  10. Jianbo Yang

Papers from Jae-Young Pyun's perspective

Ordered by how strongly the researchers Jae-Young Pyun 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Speech recognition with deep recurrent neural networks
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers