David Churchill

Artificial Intelligence · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom David Churchill trusts overall

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

  1. Nathan R Sturtevant
  2. Gabriel Synnaeve
  3. Rémi Coulom
  4. Levente Kocsis
  5. Stefan Wender
  6. Graham Erickson
  7. David William Aha
  8. Michael Buro
  9. Santiago Ontañón
  10. Pierre Bessière

Who trusts David Churchill overall

  1. Glen Robertson
  2. Graham Erickson
  3. Alberto Uriarte
  4. Peng Sun
  5. Gabriel Synnaeve
  6. Ian D. Watson
  7. Santiago Ontañón
  8. Michael Buro
  9. Nicolas Usunier
  10. Victor do Nascimento Silva

Papers from David Churchill's perspective

Ordered by how strongly the researchers David Churchill 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. Attention is All you Need (Neural Information Processing Systems)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Reinforcement Learning: An Introduction
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

Their papers