Youngil Yang

Computer Vision and Pattern Recognition · 2017–2018

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

Subfields

Whom Youngil Yang trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Who trusts Youngil Yang

  1. Jung-Woo Ha (in Artificial Intelligence)

Papers from Youngil Yang's perspective

Ordered by how strongly the researchers Youngil Yang 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. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Densely Connected Convolutional Networks
  6. Automatic differentiation in PyTorch
  7. Deep Learning
  8. TensorFlow: A system for large-scale machine learning
  9. Convolutional Sequence to Sequence Learning
  10. YOLO9000: Better, Faster, Stronger

Their papers