Dan Lin

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dan Lin trusts overall

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

  1. Latanya Sweeney
  2. Vijay S. Iyengar
  3. Murat Kantarcioglu
  4. Shariq Rizvi
  5. Kun Liu
  6. L. Eon Bottou
  7. Hillol Kargupta
  8. Vassilios S. Verykios
  9. Chris Clifton

Papers from Dan Lin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Dropout: a simple way to prevent neural networks from overfitting
  4. On the design and quantification of privacy preserving data mining algorithms
  5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Maintaining Data Privacy in Association Rule Mining
  9. Privacy preserving mining of association rules
  10. Privacy-preserving distributed mining of association rules on horizontally partitioned data

Their papers