Jiaming Shan

Reinforcement Learning · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 21 citations into it

Whom Jiaming Shan trusts overall

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

1. John Edwin Laird
2. Kaiming He
3. Richard E. Korf

Papers from Jiaming Shan's perspective

Ordered by how strongly the researchers Jiaming Shan 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. Et al
4. Attention is All you Need (Neural Information Processing Systems)
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. Mask R-CNN

Their papers

• Building Cooperative Embodied Agents Modularly with Large Language Models (2023) — 315 citations