Search Results for "-㎞구글-찌라시-@hhu9999-부산달리기1페이지노출-.mvn"

Sanghani Center Student Spotlight: Mia Taylor

Mia Taylor began her freshman year at Virginia Tech as a five-year accelerated bachelor of science/master of science program in computer science. She will graduate this semester (FALL 2022) and has already accepted a position of research engineer on the machine learning team at Graf Research in Blacksburg. Her research at the Sanghani Center has focused on how students use the interactive dimensionality […]

Rutuja Murlidhar Taware

Rutuja Murlidhar Taware was a master’s degree student in the Department of Computer Science. Her advisor was Naren Ramakrishnan. Taware’s research is primarily focused on analyzing the behavior of transformers when they deal with math problems, specifically in a few-shot setting.

Badhan Das

Badhan Das is a Ph.D. student in the Department of Computer Science. Her advisor is Lenwood Heath. Das’ research includes computational biology and bioinformatics, genomics, algorithms, and graph theory.  She is interested in trying to solve open questions in bioinformatics computationally.

Data Banzhaf: A Data Valuation Framework with Maximal Robustness to Learning Stochasticity

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models

Label-Only Model Inversion Attacks via Boundary Repulsion

CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays

Adversarial Contrastive Learning by Permuting Cluster Assignments

[Data] Quality Lies In The Eyes Of The Beholder

Xavier Pleimling, Vedant Shah, Ismini Lourentzou:[Data] Quality Lies In The Eyes Of The Beholder. PETRA 2022: 118-124

Toward a general unsupervised novelty detection framework in structural health monitoring