Alicia Y. Tsai

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alicia Y. Tsai trusts

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

  1. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. X. Zhang (in Computer Vision and Pattern Recognition)
  6. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from Alicia Y. Tsai's perspective

Ordered by how strongly the researchers Alicia Y. Tsai 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. Dropout: a simple way to prevent neural networks from overfitting
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Explaining and Harnessing Adversarial Examples
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers