Edwin Hsing-Mean Sha

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 25 citations into it
• Model Architectures — 8 citations into it

Whom Edwin Hsing-Mean Sha trusts overall

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

1. Barret Zoph

Papers from Edwin Hsing-Mean Sha's perspective

Ordered by how strongly the researchers Edwin Hsing-Mean Sha trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Neural Architecture Search with Reinforcement Learning
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• 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