Yiyu Shi

Artificial Intelligence · 2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Yiyu Shi trusts overall

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

1. Diederik P. Kingma
2. Mark J van Rossum
3. Pete Warden
4. Nicholas Carlini
5. Ian J. Goodfellow

Papers from Yiyu Shi's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Et al
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Intriguing properties of neural networks
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

• Real-Time Adversarial Attacks (2019) — 68 citations
• Hardware/Software Co-Exploration of Neural Architectures (2019) — 146 citations
• Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search (2019) — 132 citations