Anna Schmidt

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom Anna Schmidt trusts overall

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

  1. P. Burnap
  2. Yashar Mehdad
  3. Matthew Leighton Williams
  4. William Warner
  5. Irene Kwok
  6. Joel R. Tetreault
  7. Karthik Dinakar
  8. Ying Chen
  9. Jun-Ming Xu
  10. Peter F. Brown

Who trusts Anna Schmidt overall

  1. Bertie Vidgen
  2. Ziqi Zhang
  3. Michael Wiegand
  4. Segun Taofeek Aroyehun
  5. Lei Gao
  6. Jelena Mitrović
  7. Younghun Lee
  8. Betty van Aken
  9. Helena Bonaldi
  10. Wessel Stoop

Papers from Anna Schmidt's perspective

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

  1. Efficient Estimation of Word Representations in Vector Space
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Distributed Representations of Sentences and Documents
  9. ImageNet: A large-scale hierarchical image database
  10. Latent Dirichlet Allocation

Their papers