Peter Haider

2012

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Peter Haider trusts overall

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

  1. Michael I. Jordan
  2. Robert A. Jacobs
  3. Steffen Bickel
  4. Arthur P. Dempster
  5. Tobias Scheffer
  6. Nan M. Laird
  7. Geoffrey E. Hinton
  8. Donald B. Rubin

Who trusts Peter Haider overall

  1. Battista Biggio

Papers from Peter Haider's perspective

Ordered by how strongly the researchers Peter Haider 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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  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