Yuping Luo

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 150 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Yuping Luo trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Richard S. Sutton
  5. Yoshua Bengio
  6. Volodymyr Mnih
  7. Diederik P. Kingma
  8. Stéphane Ross
  9. Sergey Levine
  10. Alex Krizhevsky

Who trusts Yuping Luo overall

  1. Jan Chorowski
  2. Colin Raffel
  3. Chung-Cheng Chiu
  4. Jihwan Bae
  5. Graham Neubig
  6. Scott Fujimoto
  7. Gabriel Pereyra
  8. Navdeep Jaitly
  9. Carles Gelada
  10. Yuxi Li

Papers from Yuping Luo's perspective

Ordered by how strongly the researchers Yuping Luo 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers