Te Sun

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 Te Sun trusts overall

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

1. Timothée Lesort
2. Geoffrey E. Hinton
3. Andrei A. Rusu
4. R. Caruana
5. Vincenzo Lomonaco

Papers from Te Sun's perspective

Ordered by how strongly the researchers Te Sun 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. Gradient-based learning applied to document recognition
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Multitask Learning
7. Proximal Policy Optimization Algorithms (arXiv.org)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

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