Tao Mei

Information Systems · with Feng · 2014

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 Tao Mei trusts overall

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

  1. Yehuda Koren

Papers from Tao Mei's perspective

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

  1. Probabilistic Matrix Factorization
  2. Item-based collaborative filtering recommendation algorithms
  3. Matrix Factorization Techniques for Recommender Systems
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers