1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
Domain adaptation (DA) offers a valuable means to reuse data and models for new problem domains. However, robust techniques have not yet been considered for time series data with v…
cs.LG2019★ 1 cited
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence
Garrett Wilson, Diane J. Cook
Often domain adaptation is performed using a discriminator (domain classifier) to learn domain-invariant feature representations so that a classifier trained on labeled source data…
cs.LG2018
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson, Diane J. Cook
Deep learning has produced state-of-the-art results for a variety of tasks. While such approaches for supervised learning have performed well, they assume that training and testing…