Guanghang Cai

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Guanghang Cai trusts overall

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

1. Timothée Lesort

Papers from Guanghang Cai's perspective

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

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Multitask Learning
5. Gradient-based learning applied to document recognition
6. Proximal Policy Optimization Algorithms (arXiv.org)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Progressive Neural Networks
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• DisCoRL: Continual Reinforcement Learning via Policy Distillation (2019) — 66 citations