Transfer learning improves image classifier performance in data-starved regimes.
arXiv research
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In data-limited settings, stochastic policies can outperform deterministic ones in bandit problems.
A simple self-supervised model for tensor RPCA using deep unfolding.
Visual objects are composed of a recursive hierarchy of perceptual wholes and parts, whose properties, such as shape, reflectance, and color, constitute a hierarchy of intrinsic causal factors of object appearance. However, object appearance is the compositional consequence of both an object's intrinsic and extrinsic c…
Machine learning has automated much of financial fraud detection, notifying firms of, or even blocking, questionable transactions instantly. However, data imbalance starves traditionally trained models of the content necessary to detect fraud. This study examines three separate factors of credit card fraud detection vi…