Stephanie Wang

Artificial Intelligence · with Bringmann · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Stephanie Wang trusts overall

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

  1. Percy Liang
  2. Luke S. Zettlemoyer
  3. Alexander J. Ratner

Who trusts Stephanie Wang overall

  1. Xi Ye
  2. Gabriel Recchia

Papers from Stephanie Wang's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers