Heather J. Lee

Molecular Biology · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Heather J. Lee trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Graves
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Xavier Glorot
  9. Christian Szegedy
  10. Ilya Sutskever

Who trusts Heather J. Lee overall

  1. Daniel Quang
  2. William Grant Hatcher
  3. Christof Angermueller
  4. Mufti Mahmud
  5. Dongkun Zhang
  6. R. Argelaguet
  7. Mhaned Oubounyt

Papers from Heather J. Lee's perspective

Ordered by how strongly the researchers Heather J. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers