Yihe Deng

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 Yihe Deng trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Dong-Hyun Lee
4. Alfred Müller
5. Diederik P. Kingma
6. Alec Radford
7. Individualized Treat
8. Alex Krizhevsky
9. Ilya Sutskever
10. Jonathan Ho

Papers from Yihe Deng's perspective

Ordered by how strongly the researchers Yihe Deng 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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