Londa Schiebinger

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Londa Schiebinger trusts overall

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

  1. M. Wetherell
  2. Janet Holmes
  3. Tomas Mikolov
  4. Jeffrey Pennington
  5. Tolga Bolukbasi

Who trusts Londa Schiebinger overall

  1. Karolina Stańczak
  2. Rasmus Précenth
  3. A. Farkas
  4. Marcelo O. R. Prates
  5. Tessa E. S. Charlesworth
  6. Stefano Puntoni
  7. Michal Kosinski
  8. Su Lin Blodgett
  9. Isabelle Augenstein
  10. Anjalie Field

Papers from Londa Schiebinger's perspective

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

  1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  2. GloVe: Global Vectors for Word Representation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers