1 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Domain-Generalization to Improve Learning in Meta-Learning Algorithms
Usman Anjum, Chris Stockman, Cat Luong +1
This paper introduces Domain Generalization Sharpness-Aware Minimization Model-Agnostic Meta-Learning (DGS-MAML), a novel meta-learning algorithm designed to generalize across task…
Adaptive Temperature Based on Logits Correlation in Knowledge Distillation
Kazuhiro Matsuyama, Usman Anjum, Satoko Matsuyama +2
Knowledge distillation is a technique to imitate a performance that a deep learning model has, but reduce the size on another model. It applies the outputs of a model to train anot…
Towards Modeling Data Quality and Machine Learning Model Performance
Usman Anjum, Chris Trentman, Elrod Caden +1
Understanding the effect of uncertainty and noise in data on machine learning models (MLM) is crucial in developing trust and measuring performance. In this paper, a new model is p…