OptiML: Optimizing Efficiency in Machine Learning

This is a collection of our work targeted at improving efficiency in machine learning

GLoRA: One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

ViT-Slim (@CVPR'22): Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

Bibtex

@inproceedings{chavan2022vision,
  title={Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space},
  author={Chavan, Arnav and Shen, Zhiqiang and Liu, Zhuang and Liu, Zechun and Cheng, Kwang-Ting and Xing, Eric},
  journal={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2022}
}