5 papers
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…
Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis
Gibson Nkhata, Susan Gauch, Usman Anjum +1
Sentiment Analysis (SA) is instrumental in understanding peoples viewpoints facilitating social media monitoring recognizing products and brands and gauging customer satisfaction.…
Sentiment Analysis of Movie Reviews Using BERT
Gibson Nkhata, Usman Anjum, Justin Zhan
Sentiment Analysis (SA) or opinion mining is analysis of emotions and opinions from any kind of text. SA helps in tracking peoples viewpoints and it is an important factor when it…
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…