R. Liu

Artificial Intelligence · Journal of Agricultural and Food Chemistry · 2000–2021

A researcher in the Science corpus: 31 papers; trusts 130 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom R. Liu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Sepp Hochreiter
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Oriol Vinyals
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Richard Socher

Who trusts R. Liu overall

  1. Debajyoti Chatterjee
  2. A. Fardet
  3. W. Craig
  4. Isabel C. F. R. Ferreira
  5. F. Shahidi
  6. A. Patra
  7. Veronica Graham
  8. Mrinmaya Sachan
  9. Jorge Milán-Carrillo
  10. Xiaodong Liu

Papers from R. Liu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers