Jun Won Choi

Computational Mechanics · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Won Choi trusts overall

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

  1. Joel A. Tropp
  2. E.J. Candes
  3. David Paul Wipf
  4. David L. Donoho
  5. Bhaskar D. Rao
  6. Akbar M. Sayeed
  7. Gitta Kutyniok
  8. Kaiming He
  9. Robert Tibshirani
  10. Geoffrey E. Hinton

Papers from Jun Won Choi's perspective

Ordered by how strongly the researchers Jun Won Choi trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers