Elizabeth Searles

Artificial Intelligence · 2016–2018

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 Elizabeth Searles trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Matthew D. Zeiler
  4. Tomas Mikolov
  5. Andriy Mnih
  6. Ilya Sutskever
  7. Yann LeCun
  8. Alex Krizhevsky

Papers from Elizabeth Searles's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Et al
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. A Fast Learning Algorithm for Deep Belief Nets

Their papers