Sa Gao

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Sa Gao trusts overall

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

1. Xiao Ling
2. Zeynep Akata
3. Tomas Mikolov

Papers from Sa Gao's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. DeViSE: A Deep Visual-Semantic Embedding Model

Their papers

• Label Embedding for Zero-shot Fine-grained Named Entity Typing (2016) — 149 citations