Tianfan Fu

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 6 papers; trusts 185 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianfan Fu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Max Welling
  7. Sepp Hochreiter
  8. Ilya Sutskever
  9. Kaiming He
  10. Alex Graves

Who trusts Tianfan Fu overall

  1. Yuanqi Du
  2. Zhuoran Qiao
  3. Weili Nie
  4. Hanchen Wang

Papers from Tianfan Fu's perspective

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

Their papers