Changpeng Li

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Changpeng Li trusts overall

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

1. Andrew Y. Ng

Papers from Changpeng Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Dropout: a simple way to prevent neural networks from overfitting
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Recurrent neural network based language model
9. Generative Adversarial Networks
10. SQuAD: 100,000+ Questions for Machine Comprehension of Text

Their papers

• Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives (2019) — 450 citations