Margaret Drouhard

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Margaret Drouhard trusts overall

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

  1. Wes McKinney
  2. Kathy Charmaz
  3. Shaowen Bardzell
  4. Os Keyes
  5. Victor Sanh
  6. Brent Daniel Mittelstadt
  7. Richard Socher
  8. Saleema Amershi
  9. Forough Poursabzi-Sangdeh

Papers from Margaret Drouhard's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Their papers