Sang-gil Lee

Generative Models · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 90 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Sang-gil Lee trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Aäron van den Oord
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Jimmy Ba
  8. Alex Graves
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Sang-gil Lee overall

  1. Yanli Li
  2. Wei Ping
  3. Xu Tan
  4. Conor Durkan
  5. Kainan Peng
  6. Takuma Okamoto
  7. Cong Han
  8. Congyi Wang
  9. Yuma Koizumi
  10. Rithesh Kumar

Papers from Sang-gil Lee's perspective

Ordered by how strongly the researchers Sang-gil Lee 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers