Yitao Liang

Artificial Intelligence · with Broeck · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yitao Liang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Sergey Ioffe
  7. Ilya Sutskever
  8. Yann LeCun
  9. Jimmy Ba
  10. Christian Szegedy

Papers from Yitao Liang's perspective

Ordered by how strongly the researchers Yitao Liang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers