66 citations · 168 across the 35 of their papers we have counts for
37 papers
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
Rohit Gupta, Anirban Roy, Claire Christensen +6
The recent growth in the consumption of online media by children during early childhood necessitates data-driven tools enabling educators to filter out appropriate educational cont…
Confidence Calibration for Systems with Cascaded Predictive Modules
Yunye Gong, Yi Yao, Xiao Lin +2
Existing conformal prediction algorithms estimate prediction intervals at target confidence levels to characterize the performance of a regression model on new test samples. Howeve…
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
Yangyi Chen, Karan Sikka, Michael Cogswell +2
Vision-language models (VLMs) have recently demonstrated strong efficacy as visual assistants that can parse natural queries about the visual content and generate human-like output…
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models
Indranil Sur, Karan Sikka, Matthew Walmer +5
We present a Multimodal Backdoor Defense technique TIJO (Trigger Inversion using Joint Optimization). Recent work arXiv:2112.07668 has demonstrated successful backdoor attacks on m…
Predicting Information Pathways Across Online Communities
Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma +4
The problem of community-level information pathway prediction (CLIPP) aims at predicting the transmission trajectory of content across online communities. A successful solution to…
Probing Conceptual Understanding of Large Visual-Language Models
Madeline Schiappa, Raiyaan Abdullah, Shehreen Azad +4
In recent years large visual-language (V+L) models have achieved great success in various downstream tasks. However, it is not well studied whether these models have a conceptual g…