E. Tsai

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom E. Tsai trusts overall

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

  1. Ronald J. Williams
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Christopher D. Manning
  5. Chin-Yew Lin
  6. Oriol Vinyals
  7. Yoshua Bengio
  8. Richard Socher
  9. Alex Krizhevsky
  10. Ilya Sutskever

Papers from E. Tsai's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers