Taifeng Wang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Taifeng Wang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Heng Ji
  4. Qi Li
  5. Ralph Grishman
  6. Thien Huu Nguyen
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Jacob Devlin
  10. David Ahn

Papers from Taifeng Wang's perspective

Ordered by how strongly the researchers Taifeng Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers