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Conditional Support Alignment for Domain Adaptation with Label Shift
In this paper, we propose a novel conditional adversarial support alignment (CASA) whose aim is to minimize the conditional symmetric support divergence between the source's and target domain's feature representation distributions, aiming at a more helpful representation for the classification task.
Robust Bayesian Recourse
Algorithmic recourse aims to recommend an informative feedback to overturn an unfavorable machine learning decision.
Towards a Robust WiFi-based Fall Detection with Adversarial Data Augmentation
Recent WiFi-based fall detection systems have drawn much attention due to their advantages over other sensory systems.
Recognizing Families through Images with Pretrained Encoder
Kinship verification and kinship retrieval are emerging tasks in computer vision.
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