Yongseok Choi

Artificial Intelligence · 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 Yongseok Choi 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 Yongseok Choi's perspective

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

  1. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
  2. Matching Networks for One Shot Learning
  3. Optimization as a Model for Few-Shot Learning
  4. Neural Architecture Search with Reinforcement Learning
  5. Human-level concept learning through probabilistic program induction
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Learning to learn by gradient descent by gradient descent
  9. Meta-Learning with Memory-Augmented Neural Networks
  10. Learning Transferable Architectures for Scalable Image Recognition

Their papers