Dillon Laird

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Dillon Laird trusts overall

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

  1. Steven L. Scott
  2. Sylvia Frühwirth-Schnatter
  3. Max Welling
  4. Radford M. Neal
  5. Dougal Maclaurin
  6. ENCODEConsortium

Who trusts Dillon Laird overall

  1. Hermanni Hälvä

Papers from Dillon Laird's perspective

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

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

Their papers