Mingyu Ding

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

2023 · arXiv (Cornell University)

Diffusion models have demonstrated their powerful generative capability in many tasks, with great potential to serve as a paradigm for offline reinforcement learning. However, the quality of the diffusion model is limited by the insufficient …

An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training

2023 · arXiv (Cornell University)

We present a model that can perform multiple vision tasks and can be adapted to other downstream tasks efficiently. Despite considerable progress in multi-task learning, most efforts focus on learning from multi-label data: a single …