Angelina Wang

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 6 papers; trusts 548 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Angelina Wang trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Yann LeCun
  9. Andrew Zisserman
  10. Ross B. Girshick

Who trusts Angelina Wang overall

  1. Yusuke Hirota
  2. Vikram V. Ramaswamy
  3. Melissa Hall
  4. Yuta Nakashima
  5. Dora Zhao
  6. Olga Russakovsky
  7. Noa García
  8. Jared Katzman
  9. Sunnie S. Y. Kim
  10. Matthias Hein

Papers from Angelina Wang's perspective

Ordered by how strongly the researchers Angelina Wang 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers