Yang Yang

Artificial Intelligence · with Gong · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Yang trusts overall

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

  1. James Martens
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Shun-ichi Amari
  6. Yoshua Bengio
  7. Shaoqing Ren
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ross B. Girshick

Papers from Yang Yang's perspective

Ordered by how strongly the researchers Yang Yang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers