Hyun-Jae Choi

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 77 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hyun-Jae Choi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sumio Watanabe
  4. Danilo Jimenez Rezende
  5. Ian J. Goodfellow
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Alex Krizhevsky
  9. Alexander A. Alemi
  10. Yarin Gal

Who trusts Hyun-Jae Choi overall

  1. Eric T. Nalisnick
  2. Erik A. Daxberger
  3. Akihiro Matsukawa
  4. Shivam Khare
  5. Zengyi Li
  6. Polina Kirichenko
  7. Aditya Grover
  8. Yee Whye Teh
  9. José Miguel Hernández-Lobato
  10. Jingkang Yang

Papers from Hyun-Jae Choi's perspective

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

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

Their papers