Junhwi Choi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junhwi Choi trusts overall

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

  1. Matthew D. Zeiler
  2. Diederik P. Kingma
  3. Tomas Mikolov
  4. Geoffrey E. Hinton
  5. Yoon Kim
  6. Sepp Hochreiter
  7. Quoc V. Le
  8. J. Urgen Schmidhuber
  9. Alex Krizhevsky
  10. Yoshua Bengio

Papers from Junhwi Choi's perspective

Ordered by how strongly the researchers Junhwi Choi 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. Efficient Estimation of Word Representations in Vector Space
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers