1 citations · 1 across the 6 of their papers we have counts for
6 papers
KidSpeak: A General Multi-purpose LLM for Kids' Speech Recognition and Screening
Rohan Sharma, Dancheng Liu, Jingchen Sun +4
With the rapid advancement of conversational and diffusion-based AI, there is a growing adoption of AI in educational services, ranging from grading and assessment tools to persona…
CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic Recognition
Jingchen Sun, Shaobo Han, Wataru Kohno +1
Contrastive Language-Audio Pretraining (CLAP) models have demonstrated unprecedented performance in various acoustic signal recognition tasks. Fiber-optic-based acoustic recognitio…
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
Shijie Zhou, Huaisheng Zhu, Rohan Sharma +4
Diffusion models have emerged as a powerful foundation model for visual generations. With an appropriate sampling process, it can effectively serve as a generative prior for solvin…
Understanding Fine-tuning in Approximate Unlearning: A Theoretical Perspective
Meng Ding, Rohan Sharma, Changyou Chen +2
Machine Unlearning has emerged as a significant area of research, focusing on `removing' specific subsets of data from a trained model. Fine-tuning (FT) methods have become one of…
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning
Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande +1
Prompt Tuning has emerged as a prominent research paradigm for adapting vision-language models to various downstream tasks. However, recent research indicates that prompt tuning me…
Discriminative Adversarial Unlearning
Rohan Sharma, Shijie Zhou, Kaiyi Ji +1
We introduce a novel machine unlearning framework founded upon the established principles of the min-max optimization paradigm. We capitalize on the capabilities of strong Membersh…