Ze Ma

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 24 citations into it
• Control and Systems Engineering — 20 citations into it
• Generative Models — 10 citations into it

Whom Ze Ma trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. John Schulman
4. Alec Radford
5. Alex Krizhevsky
6. Yoshua Bengio
7. Mohit Sewak
8. Kaiming He
9. Yann LeCun
10. Jonathan Ho

Papers from Ze Ma's perspective

Ordered by how strongly the researchers Ze Ma 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• HAKE: Human Activity Knowledge Engine (2019) — 63 citations
• AMP (2021) — 32 citations