Yihong Gu

Probabilistic & Bayesian Methods · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yihong Gu trusts overall

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

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Andriy Mnih
  4. Geoffrey E. Hinton
  5. Ronald J. Williams
  6. Ruslan Salakhutdinov
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Danilo Jimenez Rezende
  10. Max Welling

Papers from Yihong Gu's perspective

Ordered by how strongly the researchers Yihong Gu 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers