Y. Song

Artificial Intelligence · with Gildea · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Song trusts overall

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

  1. Michael Collins
  2. Nathan D. Ratliff
  3. Kevin P. Murphy
  4. Eugene Charniak
  5. Arthur P. Dempster
  6. Stephan Vogel

Who trusts Y. Song overall

  1. Tadas Baltrusaitis

Papers from Y. Song's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. The Mathematics of Statistical Machine Translation: Parameter Estimation
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A Joint Model of Language and Perception for Grounded Attribute Learning

Their papers