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Found 3 papers, 1 papers with code
Tribuo: Machine Learning with Provenance in Java
Tracking these models and ensuring they behave appropriately is becoming increasingly difficult as the number of deployed models increases.
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data
Indeed, self-supervised language models trained on "positive" examples of English text generalize in desirable ways to many natural language tasks.
Augur: a Modeling Language for Data-Parallel Probabilistic Inference
In this paper, we present a probabilistic programming language and compiler for Bayesian networks designed to make effective use of data-parallel architectures such as GPUs.
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