Joseph Wang

Artificial Intelligence · with Bolukbasi · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Wang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. X. Zhang
  6. Ilya Sutskever
  7. Baoyuan Liu

Who trusts Joseph Wang overall

  1. Loren Lugosch
  2. Andrea Banino
  3. Simone Scardapane
  4. Tailin Liang
  5. Sangdon Park

Papers from Joseph Wang's perspective

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

Their papers