Yining Chen

Computer Vision and Pattern Recognition · with Ermon · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yining Chen trusts overall

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

  1. Aviv Gabbay
  2. Yann LeCun
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Individualized Treat
  7. Irina Higgins
  8. Alex Krizhevsky
  9. Hyunjik Kim
  10. Karl Ridgeway

Who trusts Yining Chen overall

  1. Francesco Locatello
  2. Bernhard Schölkopf

Papers from Yining Chen's perspective

Ordered by how strongly the researchers Yining Chen 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. GENERATIVE ADVERSARIAL NETS
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers