Dale R. Webster

Artificial Intelligence · 2015–2024

A researcher in the Science corpus: 13 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Dale R. Webster trusts overall

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

  1. Brian K. Shoichet
  2. Christian Szegedy

Who trusts Dale R. Webster overall

  1. Garrett B. Goh
  2. Dougal Maclaurin

Papers from Dale R. Webster's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Going deeper with convolutions
  3. Multitask Learning
  4. Rethinking the Inception Architecture for Computer Vision
  5. Large Scale Distributed Deep Networks
  6. Language Models are Unsupervised Multitask Learners
  7. ImageNet classification with deep convolutional neural networks
  8. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Learning representations by back-propagating errors

Their papers