Yejin Bang

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yejin Bang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jason Aaron Edward Weston
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Jacob Devlin
  7. Alex Krizhevsky
  8. Tomas Mikolov
  9. Yann LeCun
  10. Hyojin Chin

Who trusts Yejin Bang overall

  1. Zhexin Zhang
  2. Chun Xia
  3. Chris Wendler
  4. Hanmeng Liu
  5. Hao Sun
  6. Viet Dac Lai

Papers from Yejin Bang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers