Wenlai Zhao

Optimization & Training · 2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenlai Zhao trusts overall

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

  1. James Martens
  2. L. Eon Bottou
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Jorge Nocedal
  6. Boris Polyak
  7. Kaiming He
  8. Yann LeCun
  9. Ilya Sutskever
  10. Yoshua Bengio

Papers from Wenlai Zhao's perspective

Ordered by how strongly the researchers Wenlai Zhao 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers