Seong-Whan Lee

Artificial Intelligence · with Lee · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seong-Whan Lee trusts overall

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

  1. Aäron van den Oord
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Yi Ren
  5. Jaehyeon Kim
  6. Yoshua Bengio
  7. Martin L. Hazelton
  8. Oriol Vinyals
  9. Alex Krizhevsky
  10. Alex Graves

Papers from Seong-Whan Lee's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. GENERATIVE ADVERSARIAL NETS
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers