Beibei Kong

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Information Systems — 16 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Beibei Kong trusts overall

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

1. Geoffrey E. Hinton

Papers from Beibei Kong's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Distilling the Knowledge in a Neural Network (arXiv.org)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Multitask Learning
8. Identity Mappings in Deep Residual Networks
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• One Person, One Model, One World: Learning Continual User Representation without Forgetting (2020) — 83 citations