research
∙
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...
share
research
∙
07/12/2023
Reward Selection with Noisy Observations
We study a fundamental problem in optimization under uncertainty. There ...
research
∙
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...
research
∙
07/09/2022
A Study on Self-Supervised Object Detection Pretraining
In this work, we study different approaches to self-supervised pretraini...
research
∙
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 ...
research
∙
10/31/2021
Revealing and Protecting Labels in Distributed Training
Distributed learning paradigms such as federated learning often involve ...
research
∙
04/15/2021
