Kevin Brown

Artificial Intelligence · with Balan · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Natural Language Processing — 8 citations into it
• Large Language Models — 6 citations into it

Whom Kevin Brown trusts overall

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

1. Jacob Devlin

Papers from Kevin Brown's perspective

Ordered by how strongly the researchers Kevin Brown 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 Few-Shot Learners (Neural Information Processing Systems)
4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
5. Long Short-Term Memory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Prototypical Networks for Few-shot Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Language Models are Few-shot Learners for Prognostic Prediction (2023) — 111 citations