no code implementations • 29 Dec 2023 • Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard Zemel
Designing deep neural network classifiers that perform robustly on distributions differing from the available training data is an active area of machine learning research.
no code implementations • EMNLP (WNUT) 2020 • Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova
Despite the widely reported success of embedding-based machine learning methods on natural language processing tasks, the use of more easily interpreted engineered features remains common in fields such as cognitive impairment (CI) detection.
no code implementations • 26 Jul 2020 • Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova
Research related to automatically detecting Alzheimer's disease (AD) is important, given the high prevalence of AD and the high cost of traditional methods.