V. Suresh

Pacific-Asia Conference on Knowledge Discovery and Data Mining · with Arun · 2010

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

Whom V. Suresh trusts overall

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

  1. Daniel D. Lee
  2. Yee Whye Teh
  3. David M. Blei

Who trusts V. Suresh overall

  1. Song Gao

Papers from V. Suresh's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Correlated Topic Models
  3. The approximation of one matrix by another of lower rank
  4. Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
  5. A density-based method for adaptive LDA model selection (Neurocomputing)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Learning Multiple Layers of Features from Tiny Images
  10. Gradient-based learning applied to document recognition

Their papers