Yining Wang

Artificial Intelligence · with Anandkumar · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yining Wang trusts overall

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

  1. Anima Anandkumar
  2. Christopher J. Hillar
  3. Yining Wang
  4. Kamyar Azizzadenesheli
  5. Richard S. Zemel
  6. Daniel J. Hsu
  7. Rong Ge
  8. Sham M. Kakade
  9. Lek-Heng Lim
  10. Jun Zhu

Who trusts Yining Wang overall

  1. Kai Zhong
  2. Zhao Song

Papers from Yining Wang's perspective

Ordered by how strongly the researchers Yining Wang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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