Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data

no code implementations • 1 Aug 2019 • Jacob Harer, Chris Reale, Peter Chin

We applied this architecture to correction tasks in both the source code and natural language domains.

NodeDrop: A Condition for Reducing Network Size without Effect on Output

no code implementations • 3 Jun 2019 • Louis Jensen, Jacob Harer, Sang Chin

Determining an appropriate number of features for each layer in a neural network is an important and difficult task.

Learning to Repair Software Vulnerabilities with Generative Adversarial Networks

no code implementations • NeurIPS 2018 • Jacob Harer, Onur Ozdemir, Tomo Lazovich, Christopher P. Reale, Rebecca L. Russell, Louis Y. Kim, Peter Chin

Motivated by the problem of automated repair of software vulnerabilities, we propose an adversarial learning approach that maps from one discrete source domain to another target domain without requiring paired labeled examples or source and target domains to be bijections.

Code Repair Generative Adversarial Network +1