Nicholas King

Large Language Models · 2023

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas King trusts overall

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

  1. Alec Radford
  2. Ankit Pal

Who trusts Nicholas King overall

  1. Guangzhi Xiong

Papers from Nicholas King's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Improving Language Understanding by Generative Pre-Training
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers