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11/25/2021
Few-shot Deep Representation Learning based on Information Bottleneck Principle
In a standard anomaly detection problem, a detection model is trained in...
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10/30/2018
Weak-supervision for Deep Representation Learning under Class Imbalance
Class imbalance is a pervasive issue among classification models includi...
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04/25/2017
