Sang-goo Lee

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 189 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Sang-goo Lee trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Richard Socher
  7. Jimmy Ba
  8. Ronald J. Williams
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Sang-goo Lee overall

  1. Andrew Drozdov
  2. Nikita Nangia
  3. Jean Maillard
  4. Yutai Hou

Papers from Sang-goo Lee's perspective

Ordered by how strongly the researchers Sang-goo Lee trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers