Xiaomin Zhu

Artificial Intelligence · with Bao · 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 Xiaomin Zhu trusts overall

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

  1. Cynthia Dwork
  2. Geoffrey E. Hinton

Papers from Xiaomin Zhu's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. ImageNet classification with deep convolutional neural networks
  4. Reading Digits in Natural Images with Unsupervised Feature Learning
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers