David Poole

Artificial Intelligence · 1989–2018

A researcher in the Science corpus: 11 papers; trusts 90 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom David Poole trusts overall

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

  1. Maximilian Nickel
  2. Geoffrey E. Hinton
  3. Ni Lao
  4. Matthew Richardson
  5. Yoshua Bengio
  6. Tim Rocktaschel
  7. Judea Pearl
  8. George A. Miller
  9. Kristian Kersting
  10. Pedro M. Domingos

Who trusts David Poole overall

  1. Luc De Raedt
  2. Seyed Mehran Kazemi
  3. Vaishak Belle
  4. Kristian Kersting
  5. Craig Boutilier
  6. Scott Sanner
  7. Thomas Demeester
  8. Rodrigo de Salvo Braz
  9. Sriraam Natarajan
  10. Angelika Kimmig

Papers from David Poole's perspective

Ordered by how strongly the researchers David Poole 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers