Jennifer Lee

Artificial Intelligence · with Arabshahi · 2020

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

Subfields

Whom Jennifer Lee trusts overall

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

  1. Tim Rocktaschel
  2. Hector J. Levesque
  3. Robyn Speer
  4. Scott E. Reed
  5. Jeffrey Pennington
  6. Ernest Davis
  7. Catherine Havasi

Who trusts Jennifer Lee overall

  1. Kaj Bostrom

Papers from Jennifer Lee's perspective

Ordered by how strongly the researchers Jennifer Lee 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. Long Short-Term Memory
  5. GloVe: Global Vectors for Word Representation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Automatic differentiation in PyTorch
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers