Levi Boyles
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View article: Self-Supervised Contextual Bandits in Computer Vision
Self-Supervised Contextual Bandits in Computer Vision Open
Contextual bandits are a common problem faced by machine learning practitioners in domains as diverse as hypothesis testing to product recommendations. There have been a lot of approaches in exploiting rich data representations for context…
View article: Modeling and Simultaneously Removing Bias via Adversarial Neural Networks
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks Open
In real world systems, the predictions of deployed Machine Learned models affect the training data available to build subsequent models. This introduces a bias in the training data that needs to be addressed. Existing solutions to this pro…