3 papers
cs.CV2022
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
Stephen Su, Samuel Kwong, Qingyu Zhao +3
There has been an increasing interest in multi-task learning for video understanding in recent years. In this work, we propose a generalized notion of multi-task learning by incorp…
cs.LG2022
Bridging the Gap between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing
Magdalini Paschali, Qingyu Zhao, Ehsan Adeli +1
A fundamental approach in neuroscience research is to test hypotheses based on neuropsychological and behavioral measures, i.e., whether certain factors (e.g., related to life even…
cs.LG2022
A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models
Anthony Vento, Qingyu Zhao, Robert Paul +2
Translating machine learning algorithms into clinical applications requires addressing challenges related to interpretability, such as accounting for the effect of confounding vari…