Richard Liaw

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 7 papers; trusts 45 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Liaw trusts overall

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

  1. Andrew Barto
  2. Geoffrey E. Hinton
  3. John Schulman
  4. Richard S. Sutton
  5. Ronald J. Williams
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Andrew Y. Ng
  9. Diederik P. Kingma
  10. Michael I. Jordan

Who trusts Richard Liaw overall

  1. Gaurav Menghani
  2. Sanjay Krishnan
  3. Alejandro Newell
  4. Tong Yu
  5. Rahul Ramesh
  6. Konstantin Schürholt
  7. Shuyang Li
  8. Takuya Akiba
  9. Praveen Palanisamy
  10. Yuxi Li

Papers from Richard Liaw's perspective

Ordered by how strongly the researchers Richard Liaw 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers