Sung Ju Hwang

Artificial Intelligence · with Baek · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sung Ju Hwang trusts

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

  1. Luke S. Zettlemoyer (in Artificial Intelligence)
  2. Yoshua Bengio (in Artificial Intelligence)
  3. Christopher D. Manning (in Artificial Intelligence)

Papers from Sung Ju Hwang's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Reading Wikipedia to Answer Open-Domain Questions

Their papers