Dianqi Li

Artificial Intelligence · with Jin · 2024

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

Subfields

• Artificial Intelligence — 33 citations into it
• Model Architectures — 9 citations into it

Whom Dianqi Li trusts overall

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

1. Noam Shazeer

Papers from Dianqi Li's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Scaling Laws for Neural Language Models (arXiv.org)
6. ImageNet classification with deep convolutional neural networks
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity (Journal of machine learning research)
10. PaLM: Scaling Language Modeling with Pathways (Journal of machine learning research)

Their papers

• Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts (2024) — 314 citations