Junbum Lee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junbum Lee trusts overall

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

  1. Klaus Krippendorff
  2. Junbo Jake Zhao
  3. Taku Kudo

Papers from Junbum Lee's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Character-level Convolutional Networks for Text Classification
  6. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers