Yuanshun Yao

Artificial Intelligence · with Liu · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it
• Large Language Models — 20 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Safety Research — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Yuanshun Yao trusts overall

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

1. Geoffrey E. Hinton
2. Ronen Eldan
3. Nicholas Carlini
4. Alex Krizhevsky
5. Yoshua Bengio
6. John Schulman
7. Diederik P. Kingma
8. Thibault Sellam
9. Stephanie C. Lin
10. Ilya Sutskever

Who trusts Yuanshun Yao overall

1. Ruiqi Zhang
2. Licong Lin

Papers from Yuanshun Yao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Language Model Unlearning (2023) — 330 citations
• Rethinking machine unlearning for large language models (2024) — 311 citations