Sang Won Yoon

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sang Won Yoon trusts overall

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

  1. Anil K. Jain
  2. Mehmet Fatih Akay

Who trusts Sang Won Yoon overall

  1. M. Ahsan

Papers from Sang Won Yoon's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  3. Best practices for convolutional neural networks applied to visual document analysis
  4. InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Rectifier Nonlinearities Improve Neural Network Acoustic Models
  7. Long Short-Term Memory
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Wasserstein Generative Adversarial Networks

Their papers