4 papers
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation
Shihao Chen, Yu Gu, Jianwei Cui +3
Any-to-any singing voice conversion (SVC) aims to transfer a target singer's timbre to other songs using a short voice sample. However many diffusion model based any-to-any SVC met…
Cellular Plasticity Model for Bottom-Up Robotic Design
Trevor R. Smith, Thomas J. Smith, Nicholas S. Szczecinski +2
Traditional top-down robotic design often lacks the adaptability needed to handle real-world complexities, prompting the need for more flexible approaches. Therefore, this study in…
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control
Zhigang Wang, Xu Zhang, Ning Wang +5
Transformer-based models are becoming deeper and larger recently. For better scalability, an underlying training solution in industry is to split billions of parameters (tensors) i…
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values
Yong Zhao, Runxin He, Nicholas Kersting +4
Understanding why a neural network model makes certain decisions can be as important as the inference performance. Various methods have been proposed to help practitioners explain…