Jin Yea Jang

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Jin Yea Jang trusts overall

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

  1. Diederik P. Kingma
  2. Jeffrey Pennington
  3. Sepp Hochreiter
  4. Rada Mihalcea
  5. Yann LeCun
  6. Richard Socher
  7. Geoffrey E. Hinton
  8. Victoria L. Rubin
  9. Yoshua Bengio
  10. Jimmy Ba

Who trusts Jin Yea Jang overall

  1. Giovanni Da San Martino
  2. Kashyap Popat
  3. James Thorne
  4. Alessandro Bondielli

Papers from Jin Yea Jang's perspective

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

  1. Long Short-Term Memory
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GloVe: Global Vectors for Word Representation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers