Danielle Li

Economics and Econometrics · 2023

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Danielle Li trusts overall

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

  1. Andrew Goodman-Bacon
  2. Brantly Callaway
  3. Dzmitry Bahdanau
  4. Kirill Borusyak
  5. Daron Acemoglu
  6. David H. Autor

Who trusts Danielle Li overall

  1. S. Reddy

Papers from Danielle Li's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  9. GPT-4 Technical Report
  10. Learning Multiple Layers of Features from Tiny Images

Their papers