Young Hun Jung

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Young Hun Jung trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Olivier Bousquet
  4. Adam Tauman Kalai

Papers from Young Hun Jung's perspective

Ordered by how strongly the researchers Young Hun Jung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Stability and Generalization
  2. Preserving Statistical Validity in Adaptive Data Analysis
  3. Pseudorandom Bits for Polynomials
  4. Efficient algorithms for online decision problems
  5. ImageNet classification with deep convolutional neural networks
  6. A theory of the learnable
  7. Revealing information while preserving privacy
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Gradient-based learning applied to document recognition

Their papers