Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
: Verifying design instead of code can be an effective and practical approach to obtaining verified software. This paper argues that proof scores are an attractive method for ver...
Kokichi Futatsugi, Joseph A. Goguen, Kazuhiro Ogat...
"Standard ML is a type-safe programming language that embodies many innovative ideas in programming language design. It is a statically typed language, with an extensible type...
In recent years we have seen great progress made in the area of automatic source-level static analysis tools. However, most of today's program verification tools are limited ...
Byron Cook, Alexey Gotsman, Andreas Podelski, Andr...