Dao-Fu Liu

Artificial Intelligence · 2015

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 Dao-Fu Liu trusts overall

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

  1. Geoffrey E. Hinton
  2. J. Ross Quinlan
  3. Naomi S. Altman
  4. Yann LeCun
  5. Yoshua Bengio
  6. L. Eon Bottou
  7. Alex Krizhevsky
  8. Ronan Collobert
  9. Tong Zhang
  10. Ilya Sutskever

Who trusts Dao-Fu Liu overall

  1. Ahmad Shawahna
  2. Patrick Judd
  3. Tianqi Chen

Papers from Dao-Fu Liu's perspective

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

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

Their papers