Babak Shahbaba

Probabilistic & Bayesian Methods · 2007–2015

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Babak Shahbaba trusts overall

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

  1. Radford M. Neal
  2. Uwe Hobohm
  3. Leo Breiman
  4. Vladimir Naumovich Vapni
  5. Niko Speybroeck
  6. Wei-Yin Loh
  7. Geoffrey E. Hinton
  8. Zoubin Ghahramani
  9. Chris H. Q. Ding
  10. Michael I. Jordan

Who trusts Babak Shahbaba overall

  1. Samuel J. Gershman
  2. Maria DeYoreo
  3. Soochan Lee
  4. David M. Blei
  5. Athanasios Kottas
  6. Heiko Strathmann
  7. Junsoo Ha
  8. T. Damoulas
  9. Jianqing Fan
  10. Edwin Fong

Papers from Babak Shahbaba's perspective

Ordered by how strongly the researchers Babak Shahbaba 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers