Joseph K. Bradley

Statistics and Probability · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph K. Bradley trusts overall

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

  1. Robert Tibshirani
  2. Shai Shalev-Shwartz
  3. Andrew Y. Ng
  4. Martin A. Zinkevich
  5. Charles E. Leiserson
  6. Jerome H. Friedman
  7. J. Langford
  8. Trevor J. Hastie
  9. Thomas Blumensath
  10. Bradley Efron

Who trusts Joseph K. Bradley overall

  1. Peter Richtárik
  2. Martin Takác
  3. Matilde Gargiani
  4. Virginia Smith
  5. Deepesh Data
  6. Ilya Trofimov
  7. Qirong Ho
  8. Zheng Qu
  9. Ji Liu
  10. Stephen J. Wright

Papers from Joseph K. Bradley's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Regression Shrinkage and Selection via the Lasso
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers