David Kao

According to our database1, David Kao authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Very Attentive Tacotron: Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech.
CoRR, 2024

2022
Learning the joint distribution of two sequences using little or no paired data.
CoRR, 2022

Speaker Generation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Non-saturating GAN training as divergence minimization.
CoRR, 2020

CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis.
CoRR, 2020

Semi-Supervised Generative Modeling for Controllable Speech Synthesis.
Proceedings of the 8th International Conference on Learning Representations, 2020

Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

CheXplain: Enabling Physicians to Explore and Understand Data-Driven, AI-Enabled Medical Imaging Analysis.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis.
CoRR, 2019

An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019


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