5 papers · 1 filter
Unsupervised Defect Detection for Surgical Instruments
Joseph Huang, Yichi Zhang, Jingxi Yu +6
Ensuring the safety of surgical instruments requires reliable detection of visual defects. However, manual inspection is prone to error, and existing automated defect detection met…
Sparse Fine-Tuning of Transformers for Generative Tasks
Wei Chen, Jingxi Yu, Zichen Miao +1
Large pre-trained transformers have revolutionized artificial intelligence across various domains, and fine-tuning remains the dominant approach for adapting these models to downst…
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
Zichen Miao, Wei Chen, Qiang Qiu
Transformer-based large pre-trained models have shown remarkable generalization ability, and various parameter-efficient fine-tuning (PEFT) methods have been proposed to customize…
Large Convolutional Model Tuning via Filter Subspace
Wei Chen, Zichen Miao, Qiang Qiu
Efficient fine-tuning methods are critical to address the high computational and parameter complexity while adapting large pre-trained models to downstream tasks. Our study is insp…
Learning to Customize Text-to-Image Diffusion In Diverse Context
Taewook Kim, Wei Chen, Qiang Qiu
Most text-to-image customization techniques fine-tune models on a small set of \emph{personal concept} images captured in minimal contexts. This often results in the model becoming…