Jia Xu

Artificial Intelligence · with Liu · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jia Xu trusts overall

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

  1. Robert Tibshirani
  2. Thomas G. Dietterich
  3. Naomi S. Altman

Papers from Jia Xu's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Regression Shrinkage and Selection via the Lasso
  3. Mastering the game of Go with deep neural networks and tree search
  4. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
  5. Estimating the Dimension of a Model
  6. ImageNet classification with deep convolutional neural networks
  7. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Multiple Classifier Systems

Their papers