3 papers
cs.LG2025
Generative Data Mining with Longtail-Guided Diffusion
David S. Hayden, Mao Ye, Timur Garipov +6
It is difficult to anticipate the myriad challenges that a predictive model will encounter once deployed. Common practice entails a reactive, cyclical approach: model deployment, d…
cs.CV2024
Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models
Yunhao Yang, Yuxin Hu, Mao Ye +5
Multimodal foundation models offer promising advancements for enhancing driving perception systems, but their high computational and financial costs pose challenges. We develop a m…
cs.CV2024
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye, Gregory P. Meyer, Zaiwei Zhang +4
Ensuring robust performance on long-tail examples is an important problem for many real-world applications of machine learning, such as autonomous driving. This work focuses on the…