4 papers
SEE-DPO: Self Entropy Enhanced Direct Preference Optimization
Shivanshu Shekhar, Shreyas Singh, Tong Zhang
Direct Preference Optimization (DPO) has been successfully used to align large language models (LLMs) according to human preferences, and more recently it has also been applied to…
Exploring intra-task relations to improve meta-learning algorithms
Prabhat Agarwal, Shreya Singh
Meta-learning has emerged as an effective methodology to model several real-world tasks and problems due to its extraordinary effectiveness in the low-data regime. There are many s…
Detecting anxiety from short clips of free-form speech
Prabhat Agarwal, Akshat Jindal, Shreya Singh
Barriers to accessing mental health assessments including cost and stigma continues to be an impediment in mental health diagnosis and treatment. Machine learning approaches based…
Classification for everyone : Building geography agnostic models for fairer recognition
Akshat Jindal, Shreya Singh, Soham Gadgil
In this paper, we analyze different methods to mitigate inherent geographical biases present in state of the art image classification models. We first quantitatively present this b…