Juae Kim

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Juae Kim trusts

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

  1. Chin-Yew Lin (in Natural Language Processing)
  2. Diederik P. Kingma (in Artificial Intelligence)

Papers from Juae Kim's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. ROUGE: A Package for Automatic Evaluation of Summaries
  4. FEVER: a Large-scale Dataset for Fact Extraction and VERification
  5. On Faithfulness and Factuality in Abstractive Summarization
  6. Graph Attention Networks (International Conference on Learning Representations)
  7. Evaluating the Factual Consistency of Abstractive Text Summarization
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers