Tao Dong

Artificial Intelligence · with Du · 2018

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

Subfields

Whom Tao Dong trusts

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

  1. Sebastian Ruder (in Artificial Intelligence)

Papers from Tao Dong's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. Deep Learning
  5. Mastering the game of Go without human knowledge
  6. Deep Speech: Scaling up end-to-end speech recognition
  7. An overview of gradient descent optimization algorithms
  8. Is Combining Classifiers with Stacking Better than Selecting the Best One?
  9. Stock Selection Strategies in Emerging Markets
  10. The Sharpe Ratio

Their papers