Sungwan Kim

Artificial Intelligence · with Choi · 2018

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 Sungwan Kim trusts

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

  1. Quoc V. Le (in Artificial Intelligence)
  2. Barret Zoph (in Artificial Intelligence)

Papers from Sungwan Kim's perspective

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

  1. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Matching Networks for One Shot Learning
  5. Optimization as a Model for Few-Shot Learning
  6. Neural Architecture Search with Reinforcement Learning
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Human-level concept learning through probabilistic program induction
  10. Gradient-based learning applied to document recognition

Their papers