Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize

1 code implementation • 5 Jun 2024 • Tianren Zhang, Chujie Zhao, GuanYu Chen, Yizhou Jiang, Feng Chen

Then, by a theoretical study of two-layer ReLU networks optimized by stochastic gradient descent (SGD) under a structured feature model, we identify a fundamental yet unexplored feature learning proclivity of neural networks, feature contamination: neural networks can learn uncorrelated features together with predictive features, resulting in generalization failure under distribution shifts.

Out-of-Distribution Generalization

Transition to Adulthood for Young People with Intellectual or Developmental Disabilities: Emotion Detection and Topic Modeling

1 code implementation • 21 Sep 2022 • Yan Liu, Maria Laricheva, Chiyu Zhang, Patrick Boutet, GuanYu Chen, Terence Tracey, Giuseppe Carenini, Richard Young

This study is to explore how to use natural language processing (NLP) methods, especially unsupervised machine learning, to assist psychologists to analyze emotions and sentiments and to use topic modeling to identify common issues and challenges that young people with IDD and their families have.

Automated Utterance Labeling of Conversations Using Natural Language Processing

1 code implementation • 12 Aug 2022 • Maria Laricheva, Chiyu Zhang, Yan Liu, GuanYu Chen, Terence Tracey, Richard Young, Giuseppe Carenini

Conversational data is essential in psychology because it can help researchers understand individuals cognitive processes, emotions, and behaviors.

Domain Adaptation