Hyeongju Kim

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hyeongju Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Sergey Ioffe
  6. Wei Ping
  7. Alex Krizhevsky
  8. Kaiming He
  9. Alex Graves
  10. Christian Szegedy

Who trusts Hyeongju Kim overall

  1. Xu Tan
  2. Sang-gil Lee
  3. Arash Vahdat
  4. Dongchao Yang
  5. Jinglin Liu
  6. Minki Kang
  7. Jaesung Tae
  8. Fei Zhao
  9. Rongjie Huang
  10. Heeseung Kim

Papers from Hyeongju Kim's perspective

Ordered by how strongly the researchers Hyeongju Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers