Ellen E. Lee

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ellen E. Lee trusts overall

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

  1. Danilo Bzdok
  2. M. de Choudhury
  3. Sandra Vieira
  4. Michael I. Jordan
  5. Andreas Meyer-Lindenberg
  6. Sarah Graham
  7. S. Kotsiantis
  8. Jenna Wiens

Papers from Ellen E. Lee's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers