Chen Ye

Reinforcement Learning · 2023

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

• Reinforcement Learning — 16 citations into it

Whom Chen Ye trusts overall

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

1. Individualized Treat

Papers from Chen Ye's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Proximal Policy Optimization Algorithms (arXiv.org)
3. GENERATIVE ADVERSARIAL NETS
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint (2023) — 383 citations