Michael Young

Artificial Intelligence · with Golovin · 2013–2015

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Young trusts overall

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

  1. H. Brendan McMahan
  2. Martin A. Zinkevich
  3. John C. Duchi
  4. J. Langford
  5. Robert Tibshirani
  6. Chih-Jen Lin
  7. Avrim Blum
  8. Shai Shalev-Shwartz
  9. Lin Xiao

Who trusts Michael Young overall

  1. H. Brendan McMahan
  2. Nataliya Sokolovska

Papers from Michael Young's perspective

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

  1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  2. Regression Shrinkage and Selection via the Lasso
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Large Scale Distributed Deep Networks
  7. LIBSVM: A library for support vector machines
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. The Tradeoffs of Large Scale Learning
  10. Long Short-Term Memory

Their papers