Alice Xiang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alice Xiang trusts overall

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

  1. Anna Lauren Hoffmann
  2. Moritz Hardt
  3. Andrew D. Selbst
  4. Lloyd S. Shapley
  5. Geoffrey E. Hinton
  6. Sorelle A. Friedler
  7. Solon Barocas
  8. R. Dennis Cook
  9. Alex Krizhevsky
  10. Diederik P. Kingma

Who trusts Alice Xiang overall

  1. Umang Bhatt

Papers from Alice Xiang's perspective

Ordered by how strongly the researchers Alice Xiang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers