Jennifer Listgarten

Molecular Biology · 2005–2019

A researcher in the Science corpus: 9 papers; trusts 44 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jennifer Listgarten trusts overall

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

  1. John D. Storey
  2. Nir Friedman
  3. Eric R. Ziegel
  4. John Quackenbush
  5. Eleftherios P. Diamandis
  6. Robert Tibshirani
  7. Yoav Benjamini
  8. R. Aebersold
  9. Arthur P. Dempster
  10. Diederik P. Kingma

Who trusts Jennifer Listgarten overall

  1. Sivaraman Balakrishnan
  2. Xiaoping Zhou
  3. B. Domon
  4. Barbara Rakitsch
  5. Xiaolei Liu
  6. Hyungwon Choi
  7. Matthew Stephens
  8. Seunggeun Lee
  9. R. Aebersold
  10. Alexey I. Nesvizhskii

Papers from Jennifer Listgarten's perspective

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

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

Their papers