Manli Shu

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models

Manli Shu, Weili Nie, De-An Huang et al. · arXiv (Cornell University) · 2022 · 112 citations · Full text

Few-shot Learning, Llm Fine-tuning, Engineering +17

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks

Micah Goldblum, Hossein Souri, Renkun Ni et al. · arXiv (Cornell University) · 2023 · 26 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +18

On the Reliability of Watermarks for Large Language Models

John Kirchenbauer, Jonas Geiping, Yuxin Wen et al. · arXiv (Cornell University) · 2023 · 23 citations · Full text

Engineering, Information Forensics, Communication +26

What do Vision Transformers Learn? A Visual Exploration

Amin Ghiasi, Hamid Kazemi, Eitan Borgnia et al. · arXiv (Cornell University) · 2022 · 20 citations · Full text

Convolutional Neural Network, Cognitive Science, Machine Vision +15

Adversarial Differentiable Data Augmentation for Autonomous Systems

Manli Shu, Yu Shen, Ming C. Lin et al. · 2021 · 15 citations

Artificial Intelligence, Data Augmentation, Robust Optimization Methods +15