Iain Barr

Artificial Intelligence · 2022–2025

A researcher in the Science corpus: 5 papers; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Iain Barr trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Oriol Vinyals
  7. Karen Simonyan
  8. Ilya Sutskever
  9. Yann LeCun
  10. Alex Graves

Papers from Iain Barr's perspective

Ordered by how strongly the researchers Iain Barr 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers