Mike Lewis

Model Architectures · 2023

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

• Model Architectures — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Natural Language Processing — 13 citations into it

Whom Mike Lewis trusts overall

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

1. Tri Dao

Papers from Mike Lewis's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Improving Language Understanding by Generative Pre-Training
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Efficient Streaming Language Models with Attention Sinks (2023) — 2,131 citations