David Kao

Artificial Intelligence · 2019

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Generative Models — 27 citations into it
• Speech & Audio — 26 citations into it
• Natural Language Processing — 18 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Model Architectures — 7 citations into it

Whom David Kao trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Danilo Jimenez Rezende
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Dzmitry Bahdanau
7. R. Skerry-Ryan
8. Yuxuan Wang

Papers from David Kao's perspective

Ordered by how strongly the researchers David Kao 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Generating Sequences With Recurrent Neural Networks
10. WaveNet: A Generative Model for Raw Audio

Their papers

• Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis (2019) — 126 citations
• Semi-Supervised Generative Modeling for Controllable Speech Synthesis (2019) — 48 citations
• Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis (2019) — 48 citations