Kyra Yee

Natural Language Processing · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Kyra Yee trusts overall

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

  1. Myle Ott
  2. Rico Sennrich
  3. Geoffrey E. Hinton
  4. Sergey Edunov
  5. Matt Post
  6. Philipp Koehn
  7. Yoshua Bengio
  8. Alexei Baevski
  9. Michael Auli
  10. Ilya Sutskever

Who trusts Kyra Yee overall

  1. Lei Yu
  2. Peng-Jen Chen
  3. Changhan Wang
  4. Ratish Puduppully
  5. Mathias Müller
  6. Laurent Sartran
  7. Sewon Min
  8. Xintong Li
  9. Bryan Eikema
  10. Zhengbao Jiang

Papers from Kyra Yee's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers