Michael I. Jordanzoubin

Probabilistic & Bayesian Methods · 1995

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael I. Jordanzoubin trusts overall

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

  1. Lawrence R. Rabiner
  2. Lawrence K. Saul
  3. Michael I. Jordan
  4. Biing-Hwang Fred Juang
  5. Geoffrey E. Hinton
  6. Radford M. Neal
  7. Stuart Geman

Who trusts Michael I. Jordanzoubin overall

  1. Dong Yu
  2. Li Deng
  3. Ilya Sutskever
  4. J. Kolter
  5. Michael I. Jordan
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Simon Lacoste-Julien
  9. Marc Toussaint
  10. Fei Huang

Papers from Michael I. Jordanzoubin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers