Tony Duan

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tony Duan trusts overall

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

  1. Radford M. Neal
  2. Yarin Gal
  3. Alex Graves
  4. Shun-ichi Amari
  5. James Martens
  6. Balaji Lakshminarayanan
  7. Geoffrey E. Hinton
  8. Michalis K. Titsias
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Tony Duan overall

  1. Julien N. Siems

Papers from Tony Duan's perspective

Ordered by how strongly the researchers Tony Duan 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers