Aurick Qiao

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aurick Qiao trusts overall

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

  1. Ken Lang
  2. Yann LeCun
  3. Vinod Nair
  4. Geoffrey E. Hinton
  5. Simon S. Haykin
  6. James Cipar
  7. L. Eon Bottou
  8. Qirong Ho
  9. Yoshua Bengio
  10. Yurii E. Nesterov

Who trusts Aurick Qiao overall

  1. Kiwan Maeng

Papers from Aurick Qiao's perspective

Ordered by how strongly the researchers Aurick Qiao 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. Gradient-based learning applied to document 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers