Quanquan Gu

Artificial Intelligence · with Chen · 2024

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Optimization & Training — 7 citations into it

Whom Quanquan Gu trusts overall

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

1. Yoshua Bengio

Papers from Quanquan Gu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. GENERATIVE ADVERSARIAL NETS
4. Attention is All you Need (Neural Information Processing Systems)
5. Language Models are Unsupervised Multitask Learners
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. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Curriculum learning

Their papers

• Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (2024) — 604 citations