Burt L. Monroe

Artificial Intelligence · 2008–2010

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Burt L. Monroe trusts overall

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

  1. Eric R. Ziegel
  2. Vladimir Naumovich Vapni
  3. Matthew Gentzkow
  4. Bei Yu
  5. Trevor J. Hastie
  6. Kevin M. Quinn
  7. Klaus Krippendorff
  8. Jesse M. Shapiro
  9. K. Poole
  10. David J. Hand

Who trusts Burt L. Monroe overall

  1. Yulia Tsvetkov
  2. Su Lin Blodgett
  3. Anjalie Field
  4. Jack Hessel
  5. Justin Grimmer
  6. Julia Mendelsohn
  7. Myra Cheng
  8. Wei Xu
  9. Niels D. Goet
  10. Sachin Kumar

Papers from Burt L. Monroe's perspective

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

  1. Latent Dirichlet Allocation
  2. The Nature of Statistical Learning Theory
  3. The Elements of Statistical Learning
  4. Random Forests
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Long Short-Term Memory
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers