Annie Waldherr

Artificial Intelligence · 2018

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

Subfields

Whom Annie Waldherr trusts overall

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

  1. David M. Blei
  2. Justin Grimmer
  3. Michael I. Jordan
  4. T. Griffiths
  5. Carson Sievert
  6. Yee Whye Teh

Papers from Annie Waldherr's perspective

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

  1. Latent Dirichlet Allocation
  2. Finding scientific topics
  3. Hierarchical Dirichlet Processes
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Foundations of Statistical Natural Language Processing
  10. Optimizing Semantic Coherence in Topic Models (Conference on Empirical Methods in Natural Language Processing)

Their papers