Jasmine Wang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jasmine Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Marilynn Shirley Stratton
  3. Yoshua Bengio
  4. Jason Aaron Edward Weston
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Ilya Sutskever
  9. Jacob Devlin
  10. Yann LeCun

Papers from Jasmine Wang's perspective

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

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

Their papers