Xinyi Liao

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinyi Liao trusts overall

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

  1. John Schulman
  2. Diederik P. Kingma
  3. Yu Fan Chen
  4. Yoshua Bengio

Papers from Xinyi Liao's perspective

Ordered by how strongly the researchers Xinyi Liao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Trust Region Policy Optimization (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. Curriculum learning
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers