Bokai Cao

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Graph Learning — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Bokai Cao trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Jure Leskovec
4. Yann LeCun
5. Yoshua Bengio
6. Cynthia Dwork
7. Lada A. Adamic
8. Aditya Grover
9. Linyuan Lu
10. Lars Backstrom

Papers from Bokai Cao's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Distilling the Knowledge in a Neural Network (arXiv.org)
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Efficient Estimation of Word Representations in Vector Space

Their papers

• Private Model Compression via Knowledge Distillation (2018) — 133 citations
• Cross View Link Prediction by Learning Noise-resilient Representation Consensus (2017) — 86 citations