Tailin Liang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 297 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tailin Liang trusts overall

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

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

Who trusts Tailin Liang overall

  1. Elias Frantar
  2. Yang He
  3. Le Yu
  4. Dan Alistarh
  5. Lingao Xiao

Papers from Tailin Liang's perspective

Ordered by how strongly the researchers Tailin Liang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers