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Active learning with biased non-response to label requests
We conceptualise this degradation by considering the type of non-response present in the data, demonstrating that biased non-response is particularly detrimental to model performance.
On Biased Random Walks, Corrupted Intervals, and Learning Under Adversarial Design
We tackle some fundamental problems in probability theory on corrupted random processes on the integer line.
Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
A significant proportion of individuals' daily activities is experienced through digital devices.
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