Gue Jun Jung

Computer Vision and Pattern Recognition · 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 Gue Jun Jung trusts overall

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

  1. Mehdi Mirza

Papers from Gue Jun Jung's perspective

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

  1. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  2. Conditional Generative Adversarial Nets
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers