1 citations · 1 across the 5 of their papers we have counts for
5 papers
Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets?
Trisha Mittal, Akshay Mehra, Joshua Kimball
Dataset distillation (DD) has emerged as a prominent approach in data centric machine learning, aiming to synthesize compact training sets for efficient training by compressing the…
A robust PPG foundation model using multimodal physiological supervision
Eloy Geenjaar, Vince Calhoun, Scott Daly +4
Photoplethysmography (PPG), a non-invasive measure of changes in blood volume, is widely used in both wearable devices and clinical settings. Recent PPG foundation models either us…
MCAD: Multimodal Context-Aware Audio Description Generation For Soccer
Lipisha Chaudhary, Trisha Mittal, Subhadra Gopalakrishnan +2
Audio Descriptions (AD) are essential for making visual content accessible to individuals with visual impairments. Recent works have shown a promising step towards automating AD, b…
Coreset Selection via LLM-based Concept Bottlenecks
Akshay Mehra, Trisha Mittal, Subhadra Gopalakrishnan +1
Coreset Selection (CS) aims to identify a subset of the training dataset that achieves model performance comparable to using the entire dataset. Many state-of-the-art CS methods se…
Analysis of Human Perception in Distinguishing Real and AI-Generated Faces: An Eye-Tracking Based Study
Jin Huang, Subhadra Gopalakrishnan, Trisha Mittal +2
Recent advancements in Artificial Intelligence have led to remarkable improvements in generating realistic human faces. While these advancements demonstrate significant progress in…