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06/08/2022
Resolving the Human Subjects Status of Machine Learning's Crowdworkers
In recent years, machine learning (ML) has come to rely more heavily on ...
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10/14/2021
Practical Benefits of Feature Feedback Under Distribution Shift
In attempts to develop sample-efficient algorithms, researcher have expl...
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06/02/2021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
In adversarial data collection (ADC), a human workforce interacts with a...
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09/26/2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Despite alarm over the reliance of machine learning systems on so-called...
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03/05/2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Domain adaptation addresses the common problem when the target distribut...
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08/14/2018
