Andrew Haines

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Haines trusts overall

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

  1. Marco Tulio Ribeiro
  2. Mounia Lalmas
  3. Yann LeCun
  4. B. Liu
  5. Yla R. Tausczik
  6. Jana Machajdik
  7. Heather L. O'Brien

Who trusts Andrew Haines overall

  1. Ana Lucic
  2. Christoph Molnar
  3. Giulia Vilone
  4. Nadia Burkart

Papers from Andrew Haines's perspective

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

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

Their papers