Dean Carignan

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 Dean Carignan trusts

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

  1. Alec Radford (in Large Language Models)

Papers from Dean Carignan's perspective

Ordered by how strongly the researchers Dean Carignan 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. Improving Language Understanding by Generative Pre-Training
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  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