Yuxin Wen

Artificial Intelligence · 2023

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 86 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Safety, Robustness & Interpretability — 32 citations into it
• Signal Processing — 15 citations into it

Whom Yuxin Wen trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. Alex Krizhevsky
5. Alec Radford
6. Diederik P. Kingma
7. Kaiming He
8. Ilya Sutskever
9. Noam Shazeer
10. Richard Socher

Who trusts Yuxin Wen overall

1. Shawn Shan

Papers from Yuxin Wen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet Large Scale Visual Recognition Challenge
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery (2023) — 425 citations
• A Watermark for Large Language Models (2023) — 964 citations
• Baseline Defenses for Adversarial Attacks Against Aligned Language Models (2023) — 743 citations