Lisa Wang

Artificial Intelligence · with Creswell · 2015–2022

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lisa Wang trusts overall

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

  1. Yoshua Bengio
  2. Sepp Hochreiter
  3. Tomas Mikolov
  4. J. Urgen Schmidhuber
  5. Aaron C. Courville
  6. Geoffrey E. Hinton
  7. Pascal Vincent
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Alex Graves

Papers from Lisa Wang's perspective

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

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

Their papers