Tao Yang

Computer Vision and Pattern Recognition · with Zhang · 2023

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Yang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Radford M. Neal
  10. Karen Simonyan

Papers from Tao Yang's perspective

Ordered by how strongly the researchers Tao Yang 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  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