David A. Moore

Artificial Intelligence · 2017–2019

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

Subfields

Whom David A. Moore trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Matthew D. Hoffman
  4. Alex Graves
  5. Yoshua Bengio
  6. Dustin Tran
  7. Aäron van den Oord
  8. Andrew Gelman
  9. Radford M. Neal
  10. Alex Krizhevsky

Who trusts David A. Moore overall

  1. Jimmy J. Lin
  2. Lucia Zheng

Papers from David A. Moore's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. GENERATIVE ADVERSARIAL NETS
  7. Gradient-based learning applied to document recognition
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers