Heeseung Kim

Generative Models · 2021

A researcher in the Science corpus: 3 papers; trusts 107 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Heeseung Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Aäron van den Oord
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Prafulla Dhariwal
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Heeseung Kim overall

  1. Minki Kang
  2. Ya-Zhen Song
  3. Dong Min
  4. Zhuo Chen
  5. Ziyue Jiang
  6. Rui Gao

Papers from Heeseung Kim's perspective

Ordered by how strongly the researchers Heeseung 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. 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. GENERATIVE ADVERSARIAL NETS
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers