Katie Millican

Artificial Intelligence · 2021–2025

A researcher in the Science corpus: 10 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katie Millican trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Alex Graves

Papers from Katie Millican's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Gradient-based learning applied to document recognition
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers