Avi Pfeffer

Probabilistic & Bayesian Methods · 1997–2016

A researcher in the Science corpus: 7 papers; trusts 7 researchers and is trusted by 92 researchers here, as inferred from the citation graph.

Subfields

Whom Avi Pfeffer trusts overall

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

  1. Geoffrey E. Hinton
  2. Noah D. Goodman
  3. Daphne Koller
  4. Jue Wang
  5. Robert J. McEliece
  6. Vikash K. Mansinghka
  7. Judea Pearl
  8. David John Cameron MacKay
  9. Brian Milch
  10. Pedro M. Domingos

Who trusts Avi Pfeffer overall

  1. Zoubin Ghahramani
  2. David Wingate
  3. Luc De Raedt
  4. Andreas Stuhlmüller
  5. Noah D. Goodman
  6. Vikash K. Mansinghka
  7. Angelika Kimmig
  8. Andrew McCallum
  9. Jan-Willem van de Meent
  10. Yura N. Perov

Papers from Avi Pfeffer's perspective

Ordered by how strongly the researchers Avi Pfeffer 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Training Products of Experts by Minimizing Contrastive Divergence
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers