Sarah J. MacEachern

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah J. MacEachern trusts overall

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

  1. Max Kuhn
  2. X. Chen
  3. Chen Sun
  4. James Y. Zou
  5. Hemant Ishwaran
  6. Kjell Johnson
  7. Bruce G. Buchanan
  8. Abhinav Shrivastava
  9. Robert Tibshirani
  10. Geoffrey E. Hinton

Papers from Sarah J. MacEachern's perspective

Ordered by how strongly the researchers Sarah J. MacEachern 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers