4 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CL2020★ 4 cited
Detecting and Exorcising Statistical Demons from Language Models with Anti-Models of Negative Data
Michael L. Wick, Kate Silverstein, Jean-Baptiste Tristan +2
It's been said that "Language Models are Unsupervised Multitask Learners." Indeed, self-supervised language models trained on "positive" examples of English text generalize in desi…
stat.ML2013★ 4 cited
Augur: a Modeling Language for Data-Parallel Probabilistic Inference
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti +3
It is time-consuming and error-prone to implement inference procedures for each new probabilistic model. Probabilistic programming addresses this problem by allowing a user to spec…