3 accepted papers
Diffusion-based policies have gained growing popularity in solving a wide range of decision-making tasks due to their superior expressiveness and controllable generation during inference. However, effectively training large diffusion policies using reinforcement learning (RL) remains challenging. Ex…
Whisper to Normal voice conversion (W2N) holds great promise for assistive communication and healthcare, making it an exciting area of research and development. Recent advancements in W2N are predominantly driven by self-supervised speech representation learning (SSL) techniques. While effective, SS…
Modeling interactive driving behaviors in complex scenarios remains a fundamental challenge for autonomous driving planning. Learning-based approaches attempt to address this challenge with advanced generative models, removing the dependency on over-engineered architectures for representation fusion…