Nicholas Joseph

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 15 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas Joseph trusts

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

  1. Ilya Sutskever (in Artificial Intelligence)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Quoc V. Le (in Artificial Intelligence)

Papers from Nicholas Joseph's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. ImageNet classification with deep convolutional neural networks
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Language Models are Unsupervised Multitask Learners
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Improving Language Understanding by Generative Pre-Training
  9. Generating Sequences With Recurrent Neural Networks
  10. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Their papers