Jongbin Jung

Statistics and Probability · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jongbin Jung trusts overall

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

  1. Berk Ustun
  2. Himabindu Lakkaraju
  3. Jennifer L. Hill
  4. Paul R. Rosenbaum
  5. Cynthia Rudin
  6. Gerd Gigerenzer
  7. Donald B. Rubin
  8. Robyn M. Dawes
  9. Joseph Kang
  10. Been Kim

Who trusts Jongbin Jung overall

  1. Alexander S. Rich
  2. Menaka Narayanan
  3. Emily Chen
  4. Isaac Lage
  5. Sam Corbett-Davies
  6. Rafael Blanquero
  7. Todd M. Gureckis
  8. Osbert Bastani
  9. Jeffrey He
  10. Emilio Carrizosa

Papers from Jongbin Jung's perspective

Ordered by how strongly the researchers Jongbin Jung 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Regression Shrinkage and Selection via the Lasso
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers