Alexander Rush

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Rush trusts

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

  1. Jonathan Ho (in Computer Vision and Pattern Recognition)
  2. Diederik P. Kingma (in Artificial Intelligence)
  3. Kyunghyun Cho (in Artificial Intelligence)

Papers from Alexander Rush's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers