Trung Dang | DeepAI

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∙ 09/19/2023

Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation

Diffusion models power a vast majority of text-to-audio (TTA) generation...

0 Yatong Bai, et al. ∙

∙ 07/12/2023

Reward Selection with Noisy Observations

We study a fundamental problem in optimization under uncertainty. There ...

0 Kamyar Azizzadenesheli, et al. ∙

∙ 09/28/2022

A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks

Persistence diagrams (PDs), often characterized as sets of death and bir...

0 Chau Pham, et al. ∙

∙ 07/09/2022

A Study on Self-Supervised Object Detection Pretraining

In this work, we study different approaches to self-supervised pretraini...

11 Trung Dang, et al. ∙

∙ 12/08/2021

Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features

Unsupervised Zero-Shot Voice Conversion (VC) aims to modify the speaker ...

0 Trung Dang, et al. ∙

∙ 10/31/2021

Revealing and Protecting Labels in Distributed Training

Distributed learning paradigms such as federated learning often involve ...

0 Trung Dang, et al. ∙

∙ 04/15/2021

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It

End-to-end Automatic Speech Recognition (ASR) models are commonly traine...

0 Trung Dang, et al. ∙

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