Oscar Chang

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oscar Chang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Xavier Glorot
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yann LeCun
  9. X. Zhang
  10. Ilya Sutskever

Who trusts Oscar Chang overall

  1. Shagun Sodhani
  2. Christian Henning
  3. F. Meier

Papers from Oscar Chang's perspective

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

Their papers