Shirley Mark

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shirley Mark trusts overall

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

  1. Josh Tenenbaum
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Peter S. Dayan
  5. Charles Kemp

Papers from Shirley Mark's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Building Machines that Learn and Think Like People
  10. beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

Their papers