55 citations · 66 across the 5 of their papers we have counts for
5 papers
A Standardized Framework for Collecting Graduate Student Input in Faculty Searches
Yasmeen Asali, Konstantin Gerbig, Aritra Ghosh +3
We present a procedure designed to standardize input received during faculty searches with the goal of amplifying student voices. The framework was originally used to collect feedb…
BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing
Aritra Ghosh, Andrew Lan
Computerized adaptive testing (CAT) refers to a form of tests that are personalized to every student/test taker. CAT methods adaptively select the next most informative question/it…
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing
Aritra Ghosh, Jay Raspat, Andrew Lan
Knowledge tracing refers to a family of methods that estimate each student's knowledge component/skill mastery level from their past responses to questions. One key limitation of m…
Contrastive Learning Improves Model Robustness Under Label Noise
Aritra Ghosh, Andrew Lan
Deep neural network-based classifiers trained with the categorical cross-entropy (CCE) loss are sensitive to label noise in the training data. One common type of method that can mi…
Galaxy Morphology Network: A Convolutional Neural Network Used to Study Morphology and Quenching in SDSS and CANDELS Galaxies
Aritra Ghosh, C. Megan Urry, Zhengdong Wang +3
We examine morphology-separated color-mass diagrams to study the quenching of star formation in () Sloan Digital Sky Survey (SDSS) and ($z\sim1…