Janghoon Han

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Janghoon Han trusts overall

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

  1. Myle Ott
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alec Radford

Papers from Janghoon Han's perspective

Ordered by how strongly the researchers Janghoon Han 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  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. Language Models are Unsupervised Multitask Learners
  8. Gradient-based learning applied to document recognition
  9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers