Bay Vo

Artificial Intelligence · 2021

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 — 5 citations into it

Whom Bay Vo trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Jimmy Ba (in Artificial Intelligence)

Papers from Bay Vo's perspective

Ordered by how strongly the researchers Bay Vo 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. Speech recognition with deep recurrent neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Face Detection with the Faster R-CNN (IEEE International Conference on Automatic Face & Gesture Recognition)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA

Their papers

• A graph-based CNN-LSTM stock price prediction algorithm with leading indicators (2021) — 301 citations
• Hearing loss prevalence and years lived with disability, 1990–2019: findings from the Global Burden of Disease Study 2019 (2021) — 757 citations