Andrew Poulton

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Poulton trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Andrew Poulton's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Language Models are Unsupervised Multitask Learners
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Proximal Policy Optimization Algorithms (arXiv.org)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation of Rare Words with Subword Units
  8. ImageNet classification with deep convolutional neural networks
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gaussian Error Linear Units (GELUs)

Their papers