Jungseob Lee

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jungseob Lee trusts overall

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

  1. Jason Aaron Edward Weston
  2. Emily Dinan
  3. Joseph Weizenbaum
  4. Kurt Shuster
  5. Eric Michael Smith
  6. Jing Xu
  7. Alec Radford
  8. Stephen Roller
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Papers from Jungseob Lee's perspective

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

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

Their papers