Ashton Anderson

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ashton Anderson trusts overall

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

  1. Mark Newman
  2. Frank M. Bass
  3. Jon M. Kleinberg
  4. Shane Frederick
  5. René F. Kizilcec
  6. Jure Leskovec
  7. Duncan J. Watts
  8. John K. Kruschke
  9. Joseph Hilbe
  10. Dan Huttenlocher

Who trusts Ashton Anderson overall

  1. Ivan Srba
  2. Maria Bielikova
  3. Justin Cheng
  4. Michael Castelle
  5. Angelina Wang
  6. Gautam Kishore Shahi
  7. Dan Huttenlocher
  8. Andrew Silva

Papers from Ashton Anderson's perspective

Ordered by how strongly the researchers Ashton Anderson 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. GloVe: Global Vectors for Word Representation
  4. Efficient Estimation of Word Representations in Vector Space
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers