Julien Launay

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julien Launay trusts overall

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

  1. Noam Shazeer
  2. Alec Radford

Papers from Julien Launay's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. ImageNet classification with deep convolutional neural networks
  6. Language Models are Unsupervised Multitask Learners
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Layer Normalization
  9. Long Short-Term Memory
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers