Lawrence D. W. Schmidt

Economics and Econometrics · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lawrence D. W. Schmidt trusts overall

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

  1. Daron Acemoglu
  2. David H. Autor
  3. David J. Deming
  4. Bryan T. Kelly
  5. Charles I. Jones
  6. Jeffrey Pennington
  7. Sanjeev Arora
  8. Matthew Gentzkow
  9. John Van Reenen
  10. David Dorn

Who trusts Lawrence D. W. Schmidt overall

  1. Nicholas Bloom

Papers from Lawrence D. W. Schmidt's perspective

Ordered by how strongly the researchers Lawrence D. W. Schmidt 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. GloVe: Global Vectors for Word Representation
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers